Pub Date : 2024-02-01DOI: 10.1109/ANZCC59813.2024.10432897
K. S. Vikrant, Diyako Dadkhah, S. Moheimani
Quantifying the forces generated by miniature electromagnetic actuators is challenging because of the small magnitude of the generated forces. In this paper, we report measurement of the electromagnetic forces generated by planar electromagnetic coil employed in micro-robotics. The force is measured using a microelectromechanical system-based force sensor which operates in a feedback loop providing a resolution of 4 nN. The experimentally obtained results matche with the numerically obtained value with an error of less than 10%.
{"title":"Measurement of electromagnetic force using a feedback-controlled MEMS force sensor*","authors":"K. S. Vikrant, Diyako Dadkhah, S. Moheimani","doi":"10.1109/ANZCC59813.2024.10432897","DOIUrl":"https://doi.org/10.1109/ANZCC59813.2024.10432897","url":null,"abstract":"Quantifying the forces generated by miniature electromagnetic actuators is challenging because of the small magnitude of the generated forces. In this paper, we report measurement of the electromagnetic forces generated by planar electromagnetic coil employed in micro-robotics. The force is measured using a microelectromechanical system-based force sensor which operates in a feedback loop providing a resolution of 4 nN. The experimentally obtained results matche with the numerically obtained value with an error of less than 10%.","PeriodicalId":518506,"journal":{"name":"2024 Australian & New Zealand Control Conference (ANZCC)","volume":"333 1","pages":"90-91"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-01DOI: 10.1109/ANZCC59813.2024.10432854
Zhenlei Wang, Chunfeng Li, Xiongjun Wu
The OLSR routing protocol is a proactive Linkstate routing protocol in Ad hoc networks. It uses MPR nodes to spread TC messages across the network, reducing the flooding of protocol control messages in the network. However, all MPR nodes used to propagate a TC message in the whole network are not optimal, and there are a lot of redundancy, which results in unnecessary forwarding of TC messages and increases the overhead of control protocol. To overcome this limitation, the concepts of multi-point one hop neighbor relay (MPOHNR) and multi-point two hop neighbor relay (MPTHNR) are proposed, and the node selection algorithms of MPOHNR and MPTHNR are given. By using MPOHNR and MPTHNR to forward TC messages alternately, the number of forwarding nodes is reduced, the control protocol overhead is reduced, the effective bandwidth of the link is greatly increased, and the end-to-end average delay is reduced. Numerical simulations by using the EXATA software verifies that, the improved OLSR routing protocol is a potential design method for optimizing OLSR routing protocol.
{"title":"A Multi-Point Two-Hop Neighbor Relay Based OLSR Routing Protocol Design Method for Self-organized Multi-agent Communication*","authors":"Zhenlei Wang, Chunfeng Li, Xiongjun Wu","doi":"10.1109/ANZCC59813.2024.10432854","DOIUrl":"https://doi.org/10.1109/ANZCC59813.2024.10432854","url":null,"abstract":"The OLSR routing protocol is a proactive Linkstate routing protocol in Ad hoc networks. It uses MPR nodes to spread TC messages across the network, reducing the flooding of protocol control messages in the network. However, all MPR nodes used to propagate a TC message in the whole network are not optimal, and there are a lot of redundancy, which results in unnecessary forwarding of TC messages and increases the overhead of control protocol. To overcome this limitation, the concepts of multi-point one hop neighbor relay (MPOHNR) and multi-point two hop neighbor relay (MPTHNR) are proposed, and the node selection algorithms of MPOHNR and MPTHNR are given. By using MPOHNR and MPTHNR to forward TC messages alternately, the number of forwarding nodes is reduced, the control protocol overhead is reduced, the effective bandwidth of the link is greatly increased, and the end-to-end average delay is reduced. Numerical simulations by using the EXATA software verifies that, the improved OLSR routing protocol is a potential design method for optimizing OLSR routing protocol.","PeriodicalId":518506,"journal":{"name":"2024 Australian & New Zealand Control Conference (ANZCC)","volume":"28 ","pages":"143-148"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-01DOI: 10.1109/ANZCC59813.2024.10432815
Lingqiu Zeng, Han Hu, Qingwen Han, L. Ye, Yu Lei
The ever evolving intelligent transportation systems may be able to provide low latency and high-quality service for intelligent connected vehicles (ICVs) on the basis of device-edge-cloud architecture. To match the requirement of vehicle-oriented task computing, the task offloading technology has received extensive attention, while making correct and fast offloading decisions to improve highly dynamic vehicular users’ experience is still a considerable challenge. In this paper, we study a device-edge-cloud architecture, where tasks from vehicles can be partially offloaded with a dynamically offloading proportion. To deal with this problem, we firstly introduce SPSO (serial particle swarm optimization) algorithm to search optimal connected MEC (Multi-Access Edge Computing) node. Then we further design a novel offloading strategy based on the deep Q network (DQN), prioritized experience replay based double deep Q-learning network (PERDDQN), which considers priority weight of the sample and sampling probability in loss function definition. A typical complex task, bus remote takeover, is selected to verify the performance of proposed approach. Simulation results show that PERDDQN has lower system cost, faster convergence speed and higher task success rate than the other comparison algorithms.
{"title":"Research on Task Offloading and Typical Application Based on Deep Reinforcement Learning and Device-Edge-Cloud Collaboration","authors":"Lingqiu Zeng, Han Hu, Qingwen Han, L. Ye, Yu Lei","doi":"10.1109/ANZCC59813.2024.10432815","DOIUrl":"https://doi.org/10.1109/ANZCC59813.2024.10432815","url":null,"abstract":"The ever evolving intelligent transportation systems may be able to provide low latency and high-quality service for intelligent connected vehicles (ICVs) on the basis of device-edge-cloud architecture. To match the requirement of vehicle-oriented task computing, the task offloading technology has received extensive attention, while making correct and fast offloading decisions to improve highly dynamic vehicular users’ experience is still a considerable challenge. In this paper, we study a device-edge-cloud architecture, where tasks from vehicles can be partially offloaded with a dynamically offloading proportion. To deal with this problem, we firstly introduce SPSO (serial particle swarm optimization) algorithm to search optimal connected MEC (Multi-Access Edge Computing) node. Then we further design a novel offloading strategy based on the deep Q network (DQN), prioritized experience replay based double deep Q-learning network (PERDDQN), which considers priority weight of the sample and sampling probability in loss function definition. A typical complex task, bus remote takeover, is selected to verify the performance of proposed approach. Simulation results show that PERDDQN has lower system cost, faster convergence speed and higher task success rate than the other comparison algorithms.","PeriodicalId":518506,"journal":{"name":"2024 Australian & New Zealand Control Conference (ANZCC)","volume":"1427 ","pages":"13-18"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-01DOI: 10.1109/ANZCC59813.2024.10432791
Salman Ijaz, Ahmed Nasr, M. T. Hamayun
This paper proposed a passive fault tolerant control (FTC) approach for the class of linear parameter-varying systems to deal with faults and failures in the actuator channel. The method provided in this study combines the robustness feature of integral sliding mode control (ISMC) and control allocation (CA) obtained through singular value decomposition of the input matrix. The purpose is to effectively handle faults and failures along the entire operating spectrum, which involves various scheduling parameters. This technique is effective because the same baseline controller, initially developed for a nominal system, can deal with a wide range of faults and failures without acquiring fault information. The performance of ISM-FTC is tested on a longitudinal model of aircraft system. Numerical simulations indicate no noticeable difference in tracking performance between nominal and faulty conditions.
{"title":"Fault Tolerant Control Allocation Scheme for LPV system","authors":"Salman Ijaz, Ahmed Nasr, M. T. Hamayun","doi":"10.1109/ANZCC59813.2024.10432791","DOIUrl":"https://doi.org/10.1109/ANZCC59813.2024.10432791","url":null,"abstract":"This paper proposed a passive fault tolerant control (FTC) approach for the class of linear parameter-varying systems to deal with faults and failures in the actuator channel. The method provided in this study combines the robustness feature of integral sliding mode control (ISMC) and control allocation (CA) obtained through singular value decomposition of the input matrix. The purpose is to effectively handle faults and failures along the entire operating spectrum, which involves various scheduling parameters. This technique is effective because the same baseline controller, initially developed for a nominal system, can deal with a wide range of faults and failures without acquiring fault information. The performance of ISM-FTC is tested on a longitudinal model of aircraft system. Numerical simulations indicate no noticeable difference in tracking performance between nominal and faulty conditions.","PeriodicalId":518506,"journal":{"name":"2024 Australian & New Zealand Control Conference (ANZCC)","volume":"91 8","pages":"78-83"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140529042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-01DOI: 10.1109/ANZCC59813.2024.10432879
Xiao Wang, Jun Huang, Yonghong Tian, Fei-Yue Wang
The development of artificial general intelligence (AGI) and metaverse technologies hold great potential to enhance the effectiveness of smart cities and societies. we present a cyberphysical-social approach to integrating AGI into metaverse-based smart cities and societies, with a specific focus on parallel intelligence. The proposed approach considers the interplay between the physical environment, digital systems, social dynamics, and emerging forms of parallel intelligence, as well as swarm intelligence and collective intelligence. By leveraging these forms of parallel intelligence, the integration of AGI can create more responsive and proactive infrastructure, personalized and efficient services, and foster greater community engagement. The metaverse acts as a platform for simulating real-world scenarios and testing and refining AGI models before deployment in the physical world, while also facilitating the development and coordination of parallel intelligence. However, ethical considerations must be taken into account to ensure responsible deployment and avoid exacerbating existing societal inequalities or infringing upon individual privacy rights. This report provides a comprehensive framework for the integration of AGI and parallel intelligence into metaverse-based digital and smart organizations, while emphasizing the importance of human ethics, social responsibility, and ecological sustainability.
{"title":"AGI in Metaverse for Smart Cities and Societies: A Cyber Physical Social Approach","authors":"Xiao Wang, Jun Huang, Yonghong Tian, Fei-Yue Wang","doi":"10.1109/ANZCC59813.2024.10432879","DOIUrl":"https://doi.org/10.1109/ANZCC59813.2024.10432879","url":null,"abstract":"The development of artificial general intelligence (AGI) and metaverse technologies hold great potential to enhance the effectiveness of smart cities and societies. we present a cyberphysical-social approach to integrating AGI into metaverse-based smart cities and societies, with a specific focus on parallel intelligence. The proposed approach considers the interplay between the physical environment, digital systems, social dynamics, and emerging forms of parallel intelligence, as well as swarm intelligence and collective intelligence. By leveraging these forms of parallel intelligence, the integration of AGI can create more responsive and proactive infrastructure, personalized and efficient services, and foster greater community engagement. The metaverse acts as a platform for simulating real-world scenarios and testing and refining AGI models before deployment in the physical world, while also facilitating the development and coordination of parallel intelligence. However, ethical considerations must be taken into account to ensure responsible deployment and avoid exacerbating existing societal inequalities or infringing upon individual privacy rights. This report provides a comprehensive framework for the integration of AGI and parallel intelligence into metaverse-based digital and smart organizations, while emphasizing the importance of human ethics, social responsibility, and ecological sustainability.","PeriodicalId":518506,"journal":{"name":"2024 Australian & New Zealand Control Conference (ANZCC)","volume":"281 2","pages":"61-66"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-01DOI: 10.1109/ANZCC59813.2024.10432839
Asher Winter, N. Mohajer, D. Nahavandi, Matthew Watson
Human Centrifuge Systems (HCSs) have been used for G-acceleration training for the past several decades. Current HCSs vary in structure, motion capabilites, and Dynamic Flight Simulation (DFS) capabilities. Aircraft Combat Manoeuvres (ACMs) pose risks to aircrew as they can induce high G-accelerations that negatively impact the physiological and psychological condition of aircrew. To train aircrew for the G-acceleration environment of ACMs, HCS kinematic and dynamic control should be implemented to accurately generate the G-acceleration of ACMs. To achieve such control scheme, the relationship between aircraft motion and HCS motion should be investigated. This study presents the novel analysis of three ACMs and the corresponding G-acceleration profile and kinematic control for a passive, two Degree-of-Freedom (DoF) HCS. The outcomes of this study show that a two-DoF HCS can accurately replicate the Gz-acceleration profile of ACMs. The proposed methodology of this study will contribute to configurational design optimisation and robust motion control of HCSs.
{"title":"Kinematic Control of a Human Centrifuge System for Simulation of Aircraft Manoeuvres","authors":"Asher Winter, N. Mohajer, D. Nahavandi, Matthew Watson","doi":"10.1109/ANZCC59813.2024.10432839","DOIUrl":"https://doi.org/10.1109/ANZCC59813.2024.10432839","url":null,"abstract":"Human Centrifuge Systems (HCSs) have been used for G-acceleration training for the past several decades. Current HCSs vary in structure, motion capabilites, and Dynamic Flight Simulation (DFS) capabilities. Aircraft Combat Manoeuvres (ACMs) pose risks to aircrew as they can induce high G-accelerations that negatively impact the physiological and psychological condition of aircrew. To train aircrew for the G-acceleration environment of ACMs, HCS kinematic and dynamic control should be implemented to accurately generate the G-acceleration of ACMs. To achieve such control scheme, the relationship between aircraft motion and HCS motion should be investigated. This study presents the novel analysis of three ACMs and the corresponding G-acceleration profile and kinematic control for a passive, two Degree-of-Freedom (DoF) HCS. The outcomes of this study show that a two-DoF HCS can accurately replicate the Gz-acceleration profile of ACMs. The proposed methodology of this study will contribute to configurational design optimisation and robust motion control of HCSs.","PeriodicalId":518506,"journal":{"name":"2024 Australian & New Zealand Control Conference (ANZCC)","volume":"336 1","pages":"223-228"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-01DOI: 10.1109/ANZCC59813.2024.10432835
Bujar Gashi, Haochen Hua
We introduce an indefinite generalisation to the finite-horizon mixed $mathrm{H}_{2} / mathrm{H}_{infty}$ control method for linear stochastic systems with additive and multiplicative noise. This permits for the consideration of linear systems without feed-through input to output paths, and optimality criteria with indefinite weights. We prove that in this case there exist a parameterised family of Nash equilibria of an affine state-feedback form, and derive explicit formulas for such equilibria in terms of certain coupled Riccati and linear differential equations with equality and inequality algebraic constraints.
{"title":"Indefinite mixed H₂/H∞ control of linear stochastic systems","authors":"Bujar Gashi, Haochen Hua","doi":"10.1109/ANZCC59813.2024.10432835","DOIUrl":"https://doi.org/10.1109/ANZCC59813.2024.10432835","url":null,"abstract":"We introduce an indefinite generalisation to the finite-horizon mixed $mathrm{H}_{2} / mathrm{H}_{infty}$ control method for linear stochastic systems with additive and multiplicative noise. This permits for the consideration of linear systems without feed-through input to output paths, and optimality criteria with indefinite weights. We prove that in this case there exist a parameterised family of Nash equilibria of an affine state-feedback form, and derive explicit formulas for such equilibria in terms of certain coupled Riccati and linear differential equations with equality and inequality algebraic constraints.","PeriodicalId":518506,"journal":{"name":"2024 Australian & New Zealand Control Conference (ANZCC)","volume":"422 ","pages":"265-270"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-01DOI: 10.1109/ANZCC59813.2024.10432873
Sonali Singh, Ganta Jane Gladys, P. P. Gouri, J. Goyal, Ankit Sachan, Surender Hans, Shubhi Purwar, Neeraj Gupta
In the modern world, automobile suspension holds crucial importance in uplifting a cars ride comfort and handling ability. Active suspension can doubtless enhance the driving quality and traveler comfort at the same time. Its a fourth-order advanced system that requires a highly accurate and precise robust control technique. This work presents a highly robust $H_{infty}$ controller proposed for a quarter car active suspension system and a comparison of it with the prevailing LQR controller design. Also, the design criteria to enhance the transient performance of the system consist of the concept of regional pole placement. Controller behavior is examined through simulation setup using MATLAB/Simulink. Simulation results are shown to explain the efficacy of the developed design.
{"title":"Robust H∞ Controller Design With Regional Pole-Placement for Quarter Car Active Suspension System","authors":"Sonali Singh, Ganta Jane Gladys, P. P. Gouri, J. Goyal, Ankit Sachan, Surender Hans, Shubhi Purwar, Neeraj Gupta","doi":"10.1109/ANZCC59813.2024.10432873","DOIUrl":"https://doi.org/10.1109/ANZCC59813.2024.10432873","url":null,"abstract":"In the modern world, automobile suspension holds crucial importance in uplifting a cars ride comfort and handling ability. Active suspension can doubtless enhance the driving quality and traveler comfort at the same time. Its a fourth-order advanced system that requires a highly accurate and precise robust control technique. This work presents a highly robust $H_{infty}$ controller proposed for a quarter car active suspension system and a comparison of it with the prevailing LQR controller design. Also, the design criteria to enhance the transient performance of the system consist of the concept of regional pole placement. Controller behavior is examined through simulation setup using MATLAB/Simulink. Simulation results are shown to explain the efficacy of the developed design.","PeriodicalId":518506,"journal":{"name":"2024 Australian & New Zealand Control Conference (ANZCC)","volume":"79 2","pages":"229-234"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140529337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-01DOI: 10.1109/ANZCC59813.2024.10432852
Juri P. Hemmi, M. Deghat, Zhiyong Sun
This paper presents a distributed formation control algorithm with collision avoidance properties that can estimate and cancel mismatch or bias errors in the measurements of neighbouring agents. This is done without the need for interagent communication. Bringing together the aspects of collision avoidance and mismatch estimation means that this controller should be widely applicable in robotic swarms. The theoretical results are validated through experiments and are compared with those of similar controllers in the literature.
{"title":"Distributed Formation Control with Collision Avoidance and Mismatch Estimation: Algorithm and Experiments","authors":"Juri P. Hemmi, M. Deghat, Zhiyong Sun","doi":"10.1109/ANZCC59813.2024.10432852","DOIUrl":"https://doi.org/10.1109/ANZCC59813.2024.10432852","url":null,"abstract":"This paper presents a distributed formation control algorithm with collision avoidance properties that can estimate and cancel mismatch or bias errors in the measurements of neighbouring agents. This is done without the need for interagent communication. Bringing together the aspects of collision avoidance and mismatch estimation means that this controller should be widely applicable in robotic swarms. The theoretical results are validated through experiments and are compared with those of similar controllers in the literature.","PeriodicalId":518506,"journal":{"name":"2024 Australian & New Zealand Control Conference (ANZCC)","volume":"159 ","pages":"235-240"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-01DOI: 10.1109/ANZCC59813.2024.10432917
Yu-Jen Lin, Chung-Yao Kao, Sei Zhen Khong, Shinji Hara
Robust instability analysis is intimately related to minimum-norm strong stabilization and arises in the study of oscillatory behavior in nonlinear systems. This paper analyzes the robust instability of linear discrete-time systems against stable perturbations in a direct manner without the use of bilinear transformations, and notes several important differences from its continuous-time counterpart. The results in this paper are particularly useful in the context of sampled-data control, in which the plant is often discretized for control synthesis purposes and minimum-norm strong stabilization in discrete-time is of interest.
{"title":"On Exact Robust Instability Radius of Discrete-time LTI Systems","authors":"Yu-Jen Lin, Chung-Yao Kao, Sei Zhen Khong, Shinji Hara","doi":"10.1109/ANZCC59813.2024.10432917","DOIUrl":"https://doi.org/10.1109/ANZCC59813.2024.10432917","url":null,"abstract":"Robust instability analysis is intimately related to minimum-norm strong stabilization and arises in the study of oscillatory behavior in nonlinear systems. This paper analyzes the robust instability of linear discrete-time systems against stable perturbations in a direct manner without the use of bilinear transformations, and notes several important differences from its continuous-time counterpart. The results in this paper are particularly useful in the context of sampled-data control, in which the plant is often discretized for control synthesis purposes and minimum-norm strong stabilization in discrete-time is of interest.","PeriodicalId":518506,"journal":{"name":"2024 Australian & New Zealand Control Conference (ANZCC)","volume":"145 ","pages":"217-222"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140529175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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