Pub Date : 2025-01-01DOI: 10.1016/j.isatra.2024.11.030
Ali Soltani Sharif Abadi , Pouya Heidarpoor Dehkordi , Reza Hajiyan , Ryszard Kowalik , Wiktor Wróblewski
A suitable controller for the Continuous Stirred Tank Reactor (CSTR) plays a crucial role in the reactor's performance. This paper presents a novel observer-based sliding mode controller designed to control the CSTR with high accuracy and a fast response. The stability of the proposed method is analyzed using Lyapunov theory. Five other methods, with fixed-time, finite-time (terminal), and asymptotic stability, are used for comparison. Two scenarios are defined: one with bounded control signals and one with unbounded control signals. A real-time simulator is employed to evaluate the control methods. Four different indices are used to compare the methods. In all indices, the proposed control method demonstrates the best performance, with fast response, accurate tracking and estimation, chatter-free operation, and robust features.
{"title":"Design and real-time evaluation of a novel observer-based predefined-time controller for the industrial processes","authors":"Ali Soltani Sharif Abadi , Pouya Heidarpoor Dehkordi , Reza Hajiyan , Ryszard Kowalik , Wiktor Wróblewski","doi":"10.1016/j.isatra.2024.11.030","DOIUrl":"10.1016/j.isatra.2024.11.030","url":null,"abstract":"<div><div>A suitable controller for the Continuous Stirred Tank Reactor (CSTR) plays a crucial role in the reactor's performance. This paper presents a novel observer-based sliding mode controller designed to control the CSTR with high accuracy and a fast response. The stability of the proposed method is analyzed using Lyapunov theory. Five other methods, with fixed-time, finite-time (terminal), and asymptotic stability, are used for comparison. Two scenarios are defined: one with bounded control signals and one with unbounded control signals. A real-time simulator is employed to evaluate the control methods. Four different indices are used to compare the methods. In all indices, the proposed control method demonstrates the best performance, with fast response, accurate tracking and estimation, chatter-free operation, and robust features.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"156 ","pages":"Pages 551-564"},"PeriodicalIF":6.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142775230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.isatra.2024.11.036
Mauro Sérgio Mafra Moreira, Daniel Khéde Dourado Villa, Mário Sarcinelli-Filho
A controller based on the paradigm of virtual structure, considering two quadrotors transporting a cable-suspended load, is proposed, aiming at controlling the load movement through controlling the triangle quadrotor-quadrotor-load. The null space-based behavioral control technique is used, prioritizing preserving the formation shape and orientation. The objectives are to keep a safe distance between the vehicles, to prevent collision, and to reduce the load swing. Results of experiments run using the proposed controller are also shown, which validate the proposed approach. From the theoretical analysis and experimental results, the conclusion is that combining the virtual structure control paradigm with the null space-based behavioral control provides an effective solution for the problem of transporting a cable-suspended load using two aircraft, which is the main contribution of the paper.
{"title":"Null space-based behavioral control applied to a formation of two quadrotors transporting a cable suspended load","authors":"Mauro Sérgio Mafra Moreira, Daniel Khéde Dourado Villa, Mário Sarcinelli-Filho","doi":"10.1016/j.isatra.2024.11.036","DOIUrl":"10.1016/j.isatra.2024.11.036","url":null,"abstract":"<div><div>A controller based on the paradigm of virtual structure, considering two quadrotors transporting a cable-suspended load, is proposed, aiming at controlling the load movement through controlling the triangle quadrotor-quadrotor-load. The null space-based behavioral control technique is used, prioritizing preserving the formation shape and orientation. The objectives are to keep a safe distance between the vehicles, to prevent collision, and to reduce the load swing. Results of experiments run using the proposed controller are also shown, which validate the proposed approach. From the theoretical analysis and experimental results, the conclusion is that combining the virtual structure control paradigm with the null space-based behavioral control provides an effective solution for the problem of transporting a cable-suspended load using two aircraft, which is the main contribution of the paper.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"156 ","pages":"Pages 620-631"},"PeriodicalIF":6.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142775679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.isatra.2024.10.030
Zhiqiang Wang , Zhiyuan Song , Dakuo He
As the last subprocess of copper flotation processes, the column cleaning process plays a decisive role in the tailing copper grade (TCG) and concentrate copper grade (CCG), which are the important factors in determining comprehensive economic indicators. Therefore, the problem of setpoints tracking control of TCG and CCG is particularly important. However, the unknown parameters in the column cleaning process bring great challenges to the problem of setpoints tracking. To overcome this problem, a state space model is constructed based on the two phase model of flotation. Due to the complexity of the column cleaning process, the state-space model matrices cannot be detected or calculated directly. Therefore, a deep autoencoder-based subspace identification method (SIM-DAE) is proposed to identify the state-space model matrices. Next, a Lyapunov–Krasovskii function is proposed to verify the stability and anti-interference performance of the identified system. Meanwhile, the state feedback controller is designed that the TCG and CCG can track with the setpoints. Finally, the effectiveness and feasibility of the proposed methods are verified by the data experiments and an industrial field platform.
{"title":"Subspace identification method-based setpoints tracking control and its applications to the column cleaning process","authors":"Zhiqiang Wang , Zhiyuan Song , Dakuo He","doi":"10.1016/j.isatra.2024.10.030","DOIUrl":"10.1016/j.isatra.2024.10.030","url":null,"abstract":"<div><div>As the last subprocess of copper flotation processes, the column cleaning process plays a decisive role in the tailing copper grade (TCG) and concentrate copper grade (CCG), which are the important factors in determining comprehensive economic indicators. Therefore, the problem of setpoints tracking control of TCG and CCG is particularly important. However, the unknown parameters in the column cleaning process bring great challenges to the problem of setpoints tracking. To overcome this problem, a state space model is constructed based on the two phase model of flotation. Due to the complexity of the column cleaning process, the state-space model matrices cannot be detected or calculated directly. Therefore, a deep autoencoder-based subspace identification method (SIM-DAE) is proposed to identify the state-space model matrices. Next, a Lyapunov–Krasovskii function is proposed to verify the stability and anti-interference performance of the identified system. Meanwhile, the state feedback controller is designed that the TCG and CCG can track with the setpoints. Finally, the effectiveness and feasibility of the proposed methods are verified by the data experiments and an industrial field platform.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"156 ","pages":"Pages 669-677"},"PeriodicalIF":6.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142848387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.isatra.2024.10.019
Zhongyi Qiu , Xiaochao Liu , Zhenyu Wang , Xinghua Chen , Rui Nie
Hydraulic load-sensitive systems (HLSS) are widely used for high power density and energy efficiency. This study introduces an adaptive, energy-efficient HLSS with a valve-controlled variable motor. The system faces challenges from non-linearities, including internal higher-order dynamics due to displacement changes and external unknown disturbances, which hinder precision applications. To address this issue, this study explores HLSS principles to develop an accurate system model. Subsequently, an adaptive robust motion control that considers displacement compensation (DCARC) is proposed using the established model. DCARC can learn unknown parameters online and compensate the model more accurately to improve control accuracy. Experiments show that considering the higher order dynamic effects caused by displacement in the system can improve model accuracy and effectively reduce the burden of parameter adaptation and robust feedback terms. High-precision and energy-efficient HLSS motion is verified and realized in the study. The control accuracy of DCARC is 19.4% higher than that of conventional adaptive robust control (ARC). Under experimental conditions, the proposed system can improve energy efficiency by up to five times compared to valve-controlled fixed displacement motor systems (VFDS).
{"title":"Adaptive robust motion control for hydraulic load sensitive systems considering displacement dynamic compensation","authors":"Zhongyi Qiu , Xiaochao Liu , Zhenyu Wang , Xinghua Chen , Rui Nie","doi":"10.1016/j.isatra.2024.10.019","DOIUrl":"10.1016/j.isatra.2024.10.019","url":null,"abstract":"<div><div>Hydraulic load-sensitive systems (HLSS) are widely used for high power density and energy efficiency. This study introduces an adaptive, energy-efficient HLSS with a valve-controlled variable motor. The system faces challenges from non-linearities, including internal higher-order dynamics due to displacement changes and external unknown disturbances, which hinder precision applications. To address this issue, this study explores HLSS principles to develop an accurate system model. Subsequently, an adaptive robust motion control that considers displacement compensation (DCARC) is proposed using the established model. DCARC can learn unknown parameters online and compensate the model more accurately to improve control accuracy. Experiments show that considering the higher order dynamic effects caused by displacement in the system can improve model accuracy and effectively reduce the burden of parameter adaptation and robust feedback terms. High-precision and energy-efficient HLSS motion is verified and realized in the study. The control accuracy of DCARC is 19.4% higher than that of conventional adaptive robust control (ARC). Under experimental conditions, the proposed system can improve energy efficiency by up to five times compared to valve-controlled fixed displacement motor systems (VFDS).</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"156 ","pages":"Pages 490-500"},"PeriodicalIF":6.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142635073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article presents a cascade controller for the quadrotor to track the desired trajectory effectively. Unlike previous approaches, this method avoids simplification and linearization assumptions, making it applicable in a wider range of scenarios. A novel linear quadratic tracking method is utilized, which takes into account both process noise and measurement noise while maintaining a model-free nature. Furthermore, the stability analysis of this stochastic method is thoroughly investigated. In terms of attitude control, a model-free approach is adopted. The Deep Deterministic Policy Gradient (DDPG) algorithm is implemented, leveraging an actor-critic network to handle the nonlinearities associated with attitude control. This model-free approach eliminates the need for an accurate model of the quadrotor's dynamics. Simulations are conducted to evaluate the performance of the proposed controller, and the results demonstrate its ability to effectively control the quadrotor, ensuring accurate trajectory tracking and stability.
{"title":"Quadrotor trajectory tracking using combined stochastic model-free position and DDPG-based attitude control","authors":"Roujin Mousavifard , Khalil Alipour , Mohamad Amin Najafqolian , Payam Zarafshan","doi":"10.1016/j.isatra.2024.11.007","DOIUrl":"10.1016/j.isatra.2024.11.007","url":null,"abstract":"<div><div>This article presents a cascade controller for the quadrotor to track the desired trajectory effectively. Unlike previous approaches, this method avoids simplification and linearization assumptions, making it applicable in a wider range of scenarios. A novel linear quadratic tracking method is utilized, which takes into account both process noise and measurement noise while maintaining a model-free nature. Furthermore, the stability analysis of this stochastic method is thoroughly investigated. In terms of attitude control, a model-free approach is adopted. The Deep Deterministic Policy Gradient (DDPG) algorithm is implemented, leveraging an actor-critic network to handle the nonlinearities associated with attitude control. This model-free approach eliminates the need for an accurate model of the quadrotor's dynamics. Simulations are conducted to evaluate the performance of the proposed controller, and the results demonstrate its ability to effectively control the quadrotor, ensuring accurate trajectory tracking and stability.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"156 ","pages":"Pages 240-252"},"PeriodicalIF":6.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142635051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.isatra.2024.11.023
Zhuyi Li , Hao Zheng , Xianbo Xiang , Shuai Liu , Yiming Wan
Accurate prediction of remaining useful life (RUL) is crucial for predictive maintenance of industrial systems. Although data-driven RUL prediction methods have received considerable attention, they typically require massive run-to-failure (R2F) data which is often unavailable in practice. If not properly addressed, training with a limited number of R2F trajectories not only leads to large errors in RUL prediction, but also causes difficulty in quantifying the prediction uncertainty. To address the above challenge, this paper proposes a Bayesian ensemble RUL prediction method that combines mode-dependent relevance vector machine (RVM) and trajectory similarity. Firstly, the proposed approach clusters historical R2F trajectories of unequal lengths into different degradation modes, and constructs RVM and similarity based predictions with improved accuracy by using mode-dependent libraries of kernel functions and similar trajectories. Secondly, the proposed Bayesian ensemble scheme fuses the RVM and similarity based predictions, and quantifies the associated prediction uncertainty even though the number of historical R2F trajectories are limited. In two case studies involving bearings and batteries, using only 11 and 16 R2F trajectories as training data, respectively, the proposed method reduces the mean absolute percentage error of RUL prediction by more than 20% compared to three existing methods.
{"title":"Remaining useful life prediction with limited run-to-failure data: A Bayesian ensemble approach combining mode-dependent RVM and similarity","authors":"Zhuyi Li , Hao Zheng , Xianbo Xiang , Shuai Liu , Yiming Wan","doi":"10.1016/j.isatra.2024.11.023","DOIUrl":"10.1016/j.isatra.2024.11.023","url":null,"abstract":"<div><div>Accurate prediction of remaining useful life (RUL) is crucial for predictive maintenance of industrial systems. Although data-driven RUL prediction methods have received considerable attention, they typically require massive run-to-failure (R2F) data which is often unavailable in practice. If not properly addressed, training with a limited number of R2F trajectories not only leads to large errors in RUL prediction, but also causes difficulty in quantifying the prediction uncertainty. To address the above challenge, this paper proposes a Bayesian ensemble RUL prediction method that combines mode-dependent relevance vector machine (RVM) and trajectory similarity. Firstly, the proposed approach clusters historical R2F trajectories of unequal lengths into different degradation modes, and constructs RVM and similarity based predictions with improved accuracy by using mode-dependent libraries of kernel functions and similar trajectories. Secondly, the proposed Bayesian ensemble scheme fuses the RVM and similarity based predictions, and quantifies the associated prediction uncertainty even though the number of historical R2F trajectories are limited. In two case studies involving bearings and batteries, using only 11 and 16 R2F trajectories as training data, respectively, the proposed method reduces the mean absolute percentage error of RUL prediction by more than 20% compared to three existing methods.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"156 ","pages":"Pages 307-319"},"PeriodicalIF":6.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142690102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.isatra.2024.11.013
Jingyi Sun, Biao Luo , Xiaodong Xu, Chunhua Yang
Considering actuator dynamics, we investigate a coupled system of parabolic partial differential equations (PDEs) and ordinary differential equations (ODEs), developing a data-driven boundary optimal controller based on iterative learning. Notably, the boundary input appears in the ODE-style actuator dynamics, making the boundary condition reduction quite difficult. Optimizing infinite-dimensional performance indexes in coupled Hilbert spaces is not a trivial task. This work is the first to solve the optimal control problem for a coupled PDE-ODE system with actuator dynamics under Neumann boundary conditions. We equivalently reformat the coupled PDE-ODE system into a system with homogeneous boundary conditions and then derive its singular perturbation form in an infinite-dimensional space. Subsequently, by constructing critic and actor networks, we design a novel model-free iterative learning optimal control algorithm where weighted residual techniques are used. The algorithm uses a rich set of arbitrary control policies rather than limiting to evaluation policies, enhancing the exploration capability of the learning algorithm and relaxing the requirement for persistent excitation conditions. Furthermore, the uniformly asymptotic stability of the closed-loop coupled system is demonstrated in the infinite-dimensional Hilbert space for each learning iteration, not only for the final one. Finally, the effectiveness of the proposed approach is verified by simulations on the diffusion-reaction process.
{"title":"Learning-based optimal boundary control for parabolic distributed parameter system with actuator dynamics","authors":"Jingyi Sun, Biao Luo , Xiaodong Xu, Chunhua Yang","doi":"10.1016/j.isatra.2024.11.013","DOIUrl":"10.1016/j.isatra.2024.11.013","url":null,"abstract":"<div><div>Considering actuator dynamics, we investigate a coupled system of parabolic partial differential equations (PDEs) and ordinary differential equations (ODEs), developing a data-driven boundary optimal controller based on iterative learning. Notably, the boundary input appears in the ODE-style actuator dynamics, making the boundary condition reduction quite difficult. Optimizing infinite-dimensional performance indexes in coupled Hilbert spaces is not a trivial task. This work is the first to solve the optimal control problem for a coupled PDE-ODE system with actuator dynamics under Neumann boundary conditions. We equivalently reformat the coupled PDE-ODE system into a system with homogeneous boundary conditions and then derive its singular perturbation form in an infinite-dimensional space. Subsequently, by constructing critic and actor networks, we design a novel model-free iterative learning optimal control algorithm where weighted residual techniques are used. The algorithm uses a rich set of arbitrary control policies rather than limiting to evaluation policies, enhancing the exploration capability of the learning algorithm and relaxing the requirement for persistent excitation conditions. Furthermore, the uniformly asymptotic stability of the closed-loop coupled system is demonstrated in the infinite-dimensional Hilbert space for each learning iteration, not only for the final one. Finally, the effectiveness of the proposed approach is verified by simulations on the diffusion-reaction process.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"156 ","pages":"Pages 228-239"},"PeriodicalIF":6.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142751123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.isatra.2024.11.026
Bangcheng Zhang , Shuo Gao , Shiyuan Lv , Nan Jia , Jie Wang , Bo Li , Guanyu Hu
The evidence reasoning (ER) rule has been widely used in various fields to deal with both quantitative and qualitative information with uncertainty. However, when analyzing dynamic systems, the importance of various indicators frequently changes with time and working conditions, such as performance degradation assessment of complex electromechanical systems, and the weights of the traditional evidence reasoning rules cannot be appropriately adjusted. To solve this problem, this paper proposes an adaptive evidence reasoning (AER) rule that can adjust weights according to different times and working conditions. The AER rule has two unique features: adaptive weight operation under time division and adaptive weight operation under working-condition division, which are used to solve the problem of dynamic weight adjustment under different times and working conditions. The CMA-ES algorithm is used to optimize the model parameters. Two case studies of performance degradation assessment are established to prove the advantage of the AER rule: a computer numerical control experiment and a simulation experiment of turbofan aeroengine. The results verify the effectiveness and practicability of the proposed method.
{"title":"A performance degradation assessment method for complex electromechanical systems based on adaptive evidential reasoning rule","authors":"Bangcheng Zhang , Shuo Gao , Shiyuan Lv , Nan Jia , Jie Wang , Bo Li , Guanyu Hu","doi":"10.1016/j.isatra.2024.11.026","DOIUrl":"10.1016/j.isatra.2024.11.026","url":null,"abstract":"<div><div>The evidence reasoning (ER) rule has been widely used in various fields to deal with both quantitative and qualitative information with uncertainty. However, when analyzing dynamic systems, the importance of various indicators frequently changes with time and working conditions, such as performance degradation assessment of complex electromechanical systems, and the weights of the traditional evidence reasoning rules cannot be appropriately adjusted. To solve this problem, this paper proposes an adaptive evidence reasoning (AER) rule that can adjust weights according to different times and working conditions. The AER rule has two unique features: adaptive weight operation under time division and adaptive weight operation under working-condition division, which are used to solve the problem of dynamic weight adjustment under different times and working conditions. The CMA-ES algorithm is used to optimize the model parameters. Two case studies of performance degradation assessment are established to prove the advantage of the AER rule: a computer numerical control experiment and a simulation experiment of turbofan aeroengine. The results verify the effectiveness and practicability of the proposed method.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"156 ","pages":"Pages 408-422"},"PeriodicalIF":6.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142735431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.isatra.2024.11.017
Xu Zhang , Xuan Gao , Zi-Peng Wang , Biao Luo , Ke-Zhen Han , Xue-Hua Yan
This study presents an fault-tolerant fuzzy intermittent control approach for the nonlinear hyperbolic partial differential equation (PDE) systems with multiple delays and actuator failures (MDAFs). Firstly, the nonlinear hyperbolic PDE systems with MDAFs are characterized by the Takagi–Sugeno (T–S) fuzzy delayed hyperbolic PDE model. Next, by employing the Lyapunov direct method, this paper demonstrates the robust exponential stability using spatial linear matrix inequalities (SLMIs) based on a new switching Lyapunov functional (LF). Furthermore, the fault-tolerant fuzzy intermittent control issue for nonlinear hyperbolic PDE systems with MDAFs is transformed into the LMI feasibility problem to deal with the SLMIs. Lastly, the feasibility of the constructed control strategy is demonstrated by two illustrative examples.
{"title":"H∞ fault-tolerant fuzzy intermittent control for nonlinear hyperbolic PDE systems with multiple delays and actuator failures","authors":"Xu Zhang , Xuan Gao , Zi-Peng Wang , Biao Luo , Ke-Zhen Han , Xue-Hua Yan","doi":"10.1016/j.isatra.2024.11.017","DOIUrl":"10.1016/j.isatra.2024.11.017","url":null,"abstract":"<div><div>This study presents an <span><math><msub><mrow><mi>H</mi></mrow><mrow><mi>∞</mi></mrow></msub></math></span> fault-tolerant fuzzy intermittent control approach for the nonlinear hyperbolic partial differential equation (PDE) systems with multiple delays and actuator failures (MDAFs). Firstly, the nonlinear hyperbolic PDE systems with MDAFs are characterized by the Takagi–Sugeno (T–S) fuzzy delayed hyperbolic PDE model. Next, by employing the Lyapunov direct method, this paper demonstrates the robust exponential stability using spatial linear matrix inequalities (SLMIs) based on a new switching Lyapunov functional (LF). Furthermore, the <span><math><msub><mrow><mi>H</mi></mrow><mrow><mi>∞</mi></mrow></msub></math></span> fault-tolerant fuzzy intermittent control issue for nonlinear hyperbolic PDE systems with MDAFs is transformed into the LMI feasibility problem to deal with the SLMIs. Lastly, the feasibility of the constructed control strategy is demonstrated by two illustrative examples.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"156 ","pages":"Pages 39-60"},"PeriodicalIF":6.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142775420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.isatra.2024.11.033
Qingquan Liu , Xin Huo , Kang-Zhi Liu , Minghui Chu , Hui Zhao
To identify the frequency and amplitude of a periodic signal in real-time, a novel approach termed the ”Online Harmonics Extraction Approach (OHEA)” is proposed in this paper. This method employs a notch filter with an adjustable center frequency to identify the frequency of periodic signals accurately. The computation of the envelope curve and phase-sensitive detection are combined to identify the signal amplitude and smooth out transient stages. By applying the extremum-seeking method, the identified results are fed back to adjust the center frequency, forming a closed-loop system. The convergence of the identification process is analyzed qualitatively, and a parallelized multi-component structure is proposed. Simulations and experimental results on a disturbance identification system verify the effectiveness and superiority of OHEA in the real-time identification of time-varying frequency and amplitude.
{"title":"Real-time identification of multi-component periodic signals using Online Harmonics Extraction Approach","authors":"Qingquan Liu , Xin Huo , Kang-Zhi Liu , Minghui Chu , Hui Zhao","doi":"10.1016/j.isatra.2024.11.033","DOIUrl":"10.1016/j.isatra.2024.11.033","url":null,"abstract":"<div><div>To identify the frequency and amplitude of a periodic signal in real-time, a novel approach termed the ”Online Harmonics Extraction Approach (OHEA)” is proposed in this paper. This method employs a notch filter with an adjustable center frequency to identify the frequency of periodic signals accurately. The computation of the envelope curve and phase-sensitive detection are combined to identify the signal amplitude and smooth out transient stages. By applying the extremum-seeking method, the identified results are fed back to adjust the center frequency, forming a closed-loop system. The convergence of the identification process is analyzed qualitatively, and a parallelized multi-component structure is proposed. Simulations and experimental results on a disturbance identification system verify the effectiveness and superiority of OHEA in the real-time identification of time-varying frequency and amplitude.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"156 ","pages":"Pages 689-697"},"PeriodicalIF":6.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142796560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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