Pub Date : 2021-11-25DOI: 10.1109/anzcc53563.2021.9628330
M. Lees
Data typically requires context or meaning in order to be of value. In an applied sense the context is often implemented in the form of a data model. Contemporary manufacturing environments rely on the use of data models both throughout their automation landscape as well as within most layers of business operations. Industry 4.0 (with a projected market spend of over US$150 billion by around 2026) relies heavily on the use of data models. The scale, complexity and level of integration of data models is set to increase markedly over the next phases of migration towards Industry 4.0.However the nature, location(s) and significance of data models are not always understood by many of the stakeholders within the enterprise. This can lead to decisions around system architecture, ownership and accountability that result in sub-optimal outcomes for the enterprise.This paper clarifies the nature and characteristics of data models in the manufacturing enterprise, providing a context and understanding for stakeholders and decision makers.
{"title":"Data model considerations in the manufacturing enterprise","authors":"M. Lees","doi":"10.1109/anzcc53563.2021.9628330","DOIUrl":"https://doi.org/10.1109/anzcc53563.2021.9628330","url":null,"abstract":"Data typically requires context or meaning in order to be of value. In an applied sense the context is often implemented in the form of a data model. Contemporary manufacturing environments rely on the use of data models both throughout their automation landscape as well as within most layers of business operations. Industry 4.0 (with a projected market spend of over US$150 billion by around 2026) relies heavily on the use of data models. The scale, complexity and level of integration of data models is set to increase markedly over the next phases of migration towards Industry 4.0.However the nature, location(s) and significance of data models are not always understood by many of the stakeholders within the enterprise. This can lead to decisions around system architecture, ownership and accountability that result in sub-optimal outcomes for the enterprise.This paper clarifies the nature and characteristics of data models in the manufacturing enterprise, providing a context and understanding for stakeholders and decision makers.","PeriodicalId":246687,"journal":{"name":"2021 Australian & New Zealand Control Conference (ANZCC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128222793","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 : 2021-11-25DOI: 10.1109/anzcc53563.2021.9628344
Rodrigo Possidônio Noronha
In this paper, an Adaptive Indirect Inverse Control (IAIC) methodology based on the Finite Impulse Response (FIR) Filter is proposed, such that the controller is represented by an adaptive FIR Filter. The estimate of the weights vector of FIR Filter can be performed through an adaptive algorithm based on stochastic gradient descent, such that the performance of IAIC is influenced by the performance of update of the weights vector, in terms of convergence speed and steady-state Mean Square Error (MSE), that, consequently, is influenced by the step size of an adaptive algorithm. Aiming to present a proposal to solve this problem, a new version of NLMS algorithm is proposed, with the adapted step size through Mamdani Fuzzy Inference System (MFIS). The proposed algorithm was evaluated in the IAIC syhnthesis and applied in non-minimum phase plant, in the presence of a sinusoidal disturbance signal added to the control signal.
{"title":"Adaptive Inverse Control Synthesis Subject to Sinusoidal Disturbance for Non-Minimum Phase Plant via FVSS-NLMS Algorithm","authors":"Rodrigo Possidônio Noronha","doi":"10.1109/anzcc53563.2021.9628344","DOIUrl":"https://doi.org/10.1109/anzcc53563.2021.9628344","url":null,"abstract":"In this paper, an Adaptive Indirect Inverse Control (IAIC) methodology based on the Finite Impulse Response (FIR) Filter is proposed, such that the controller is represented by an adaptive FIR Filter. The estimate of the weights vector of FIR Filter can be performed through an adaptive algorithm based on stochastic gradient descent, such that the performance of IAIC is influenced by the performance of update of the weights vector, in terms of convergence speed and steady-state Mean Square Error (MSE), that, consequently, is influenced by the step size of an adaptive algorithm. Aiming to present a proposal to solve this problem, a new version of NLMS algorithm is proposed, with the adapted step size through Mamdani Fuzzy Inference System (MFIS). The proposed algorithm was evaluated in the IAIC syhnthesis and applied in non-minimum phase plant, in the presence of a sinusoidal disturbance signal added to the control signal.","PeriodicalId":246687,"journal":{"name":"2021 Australian & New Zealand Control Conference (ANZCC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133895501","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 : 2021-11-25DOI: 10.1109/anzcc53563.2021.9628313
Xiu Liu, C. Aldrich
Froth flotation is widely used in mineral processing to separate valuable mineral ores from gangue or waste material. As such, improved monitoring and control of flotation systems can have a significant impact on mineral processing efficiency. To this end, videographic monitoring of flotation cells is well established commercially to enable decision support in plant operations, but its application in automated monitoring and control is still emerging. In this paper, the incorporation of transfer learning with deep convolutional neural networks in traditional multivariate process monitoring is considered. It is shown that despite their high dimensionality, froth image features extracted with AlexNet provides better performance than achievable with traditional multivariate image methods.
{"title":"Monitoring of Froth Flotation with Transfer Learning and Principal Component Models*","authors":"Xiu Liu, C. Aldrich","doi":"10.1109/anzcc53563.2021.9628313","DOIUrl":"https://doi.org/10.1109/anzcc53563.2021.9628313","url":null,"abstract":"Froth flotation is widely used in mineral processing to separate valuable mineral ores from gangue or waste material. As such, improved monitoring and control of flotation systems can have a significant impact on mineral processing efficiency. To this end, videographic monitoring of flotation cells is well established commercially to enable decision support in plant operations, but its application in automated monitoring and control is still emerging. In this paper, the incorporation of transfer learning with deep convolutional neural networks in traditional multivariate process monitoring is considered. It is shown that despite their high dimensionality, froth image features extracted with AlexNet provides better performance than achievable with traditional multivariate image methods.","PeriodicalId":246687,"journal":{"name":"2021 Australian & New Zealand Control Conference (ANZCC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114468675","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 : 2021-11-25DOI: 10.1109/anzcc53563.2021.9628220
J. Kennedy, P. Dower, Airlie Chapman
Controllers for distributing mobile agents to cover a desired region have become popular in the motion-coordination literature, including numerous variations on the problem. In most cases, coverage controllers target asymptotic stability, in the Lyapunov sense, to the centroids of Voronoi cells. The popular cost function used exhibits multiple local minima and maxima, and the problem of computing the global minimum is known to be NP-hard. This paper provides explicit definitions for the rate of convergence of the network utilising a distributed coverage controller. In addition, under an assumption of strong local convexity, we provide an alternate stability proof that shows the controller exhibits exponential stability to local minima. An example is provided to illustrate conditions which strong local convexity holds.
{"title":"Exponential Convergence in Voronoi-based Coverage Control","authors":"J. Kennedy, P. Dower, Airlie Chapman","doi":"10.1109/anzcc53563.2021.9628220","DOIUrl":"https://doi.org/10.1109/anzcc53563.2021.9628220","url":null,"abstract":"Controllers for distributing mobile agents to cover a desired region have become popular in the motion-coordination literature, including numerous variations on the problem. In most cases, coverage controllers target asymptotic stability, in the Lyapunov sense, to the centroids of Voronoi cells. The popular cost function used exhibits multiple local minima and maxima, and the problem of computing the global minimum is known to be NP-hard. This paper provides explicit definitions for the rate of convergence of the network utilising a distributed coverage controller. In addition, under an assumption of strong local convexity, we provide an alternate stability proof that shows the controller exhibits exponential stability to local minima. An example is provided to illustrate conditions which strong local convexity holds.","PeriodicalId":246687,"journal":{"name":"2021 Australian & New Zealand Control Conference (ANZCC)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123657740","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 : 2021-11-25DOI: 10.1109/anzcc53563.2021.9628391
Sharmila Kayastha, A. Fowler, A. Cameron
This paper provides a comparative study of nonlinear motion control techniques for a generic BB2 underwater vehicle. Two different nonlinear controllers, state feedback linearisation control and Nonlinear Model Predictive Control (NMPC), are developed to track defined manoeuvres of the vehicle. The highly nonlinear and coupled dynamics, system uncertainties and environmental disturbances of underwater vehicles make their control design difficult. This paper attempts to compensate these nonlinearities by applying the proposed nonlinear controllers. The primary objective of the proposed nonlinear controllers is to track the desired states of the BB2 vehicle effectively. The effectiveness of these proposed controllers are examined through numerical simulations. The simulation results of the proposed controllers are then compared and discussed. The simulation results show the effectiveness of the proposed controllers, which are essential for the safe operation of the BB2 underwater vehicle.
{"title":"Nonlinear Motion Control for Manoeuvring of an Underwater Vehicle","authors":"Sharmila Kayastha, A. Fowler, A. Cameron","doi":"10.1109/anzcc53563.2021.9628391","DOIUrl":"https://doi.org/10.1109/anzcc53563.2021.9628391","url":null,"abstract":"This paper provides a comparative study of nonlinear motion control techniques for a generic BB2 underwater vehicle. Two different nonlinear controllers, state feedback linearisation control and Nonlinear Model Predictive Control (NMPC), are developed to track defined manoeuvres of the vehicle. The highly nonlinear and coupled dynamics, system uncertainties and environmental disturbances of underwater vehicles make their control design difficult. This paper attempts to compensate these nonlinearities by applying the proposed nonlinear controllers. The primary objective of the proposed nonlinear controllers is to track the desired states of the BB2 vehicle effectively. The effectiveness of these proposed controllers are examined through numerical simulations. The simulation results of the proposed controllers are then compared and discussed. The simulation results show the effectiveness of the proposed controllers, which are essential for the safe operation of the BB2 underwater vehicle.","PeriodicalId":246687,"journal":{"name":"2021 Australian & New Zealand Control Conference (ANZCC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132899765","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 : 2021-11-25DOI: 10.1109/anzcc53563.2021.9628286
Jian Zhang, Hailong Huang
Unmanned Aerial Vehicles (UAVs) have become the necessary tools for a wide range of activities including but not limited to real-time monitoring, surveillance, border patrolling, search and rescue, civilian, scientific and military missions, etc. Their advantage is unprecedented and irreplaceable especially in environments dangerous to humans, for example in radiation or pollution exposed areas. A method for occlusion-aware UAV path planning is presented in this paper, which ensures every point on the target ground area can be seen at least once in a complete surveillance circle. Besides, the geometrically complex environments with occlusions are considered in our research. Compared with many existing methods, we decompose this problem into a waypoint determination problem and an instance of the traveling salesman problem.
{"title":"A Path Planning Method for Video Camera Equipped UAVs Monitoring a Ground Area","authors":"Jian Zhang, Hailong Huang","doi":"10.1109/anzcc53563.2021.9628286","DOIUrl":"https://doi.org/10.1109/anzcc53563.2021.9628286","url":null,"abstract":"Unmanned Aerial Vehicles (UAVs) have become the necessary tools for a wide range of activities including but not limited to real-time monitoring, surveillance, border patrolling, search and rescue, civilian, scientific and military missions, etc. Their advantage is unprecedented and irreplaceable especially in environments dangerous to humans, for example in radiation or pollution exposed areas. A method for occlusion-aware UAV path planning is presented in this paper, which ensures every point on the target ground area can be seen at least once in a complete surveillance circle. Besides, the geometrically complex environments with occlusions are considered in our research. Compared with many existing methods, we decompose this problem into a waypoint determination problem and an instance of the traveling salesman problem.","PeriodicalId":246687,"journal":{"name":"2021 Australian & New Zealand Control Conference (ANZCC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124597315","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 : 2021-11-25DOI: 10.1109/anzcc53563.2021.9628305
Jesse Cranney, Angus Guihot, J. Doná, F. Rigaut
In this work we propose to explore and optimise a novel concept in adaptive optics wavefront sensing. The notion being investigated is that of super-resolution, which is aimed at increasing spatial resolution in tomographic adaptive optics by introducing diversity in the alignment of different wavefront sensors. The optimisation of super-resolution requires efficient computation of the wavefront estimation error. A model of the wavefront sensor compatible with super-resolution is proposed in this paper, together with a suitable cost function to optimise the super-resolution geometry. We provide initial optimisation results verified by end-to-end simulations. In future work we will investigate the parallelisation of the optimisation routine, and alternative optimisation methods.
{"title":"Optimising Wavefront Sensing Super-Resolution in the Control of Tomographic Adaptive Optics","authors":"Jesse Cranney, Angus Guihot, J. Doná, F. Rigaut","doi":"10.1109/anzcc53563.2021.9628305","DOIUrl":"https://doi.org/10.1109/anzcc53563.2021.9628305","url":null,"abstract":"In this work we propose to explore and optimise a novel concept in adaptive optics wavefront sensing. The notion being investigated is that of super-resolution, which is aimed at increasing spatial resolution in tomographic adaptive optics by introducing diversity in the alignment of different wavefront sensors. The optimisation of super-resolution requires efficient computation of the wavefront estimation error. A model of the wavefront sensor compatible with super-resolution is proposed in this paper, together with a suitable cost function to optimise the super-resolution geometry. We provide initial optimisation results verified by end-to-end simulations. In future work we will investigate the parallelisation of the optimisation routine, and alternative optimisation methods.","PeriodicalId":246687,"journal":{"name":"2021 Australian & New Zealand Control Conference (ANZCC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116711089","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 : 2021-11-25DOI: 10.1109/anzcc53563.2021.9628290
Yuta Araki, K. Uchiyama, Kai Masuda
This paper describes the method for reconfiguring formations when some UAVs fail in a formation flight. We proposed fault detection using correlation coefficient and formation reconfiguration by applying the optimal allocation problem in this method. The correlation coefficient can detect faults by examining the similarity between the commanded value of the control input and the actual input. The optimal assignment problem can ensure a one-to-one assignment of UAVs to new target positions and minimize the total distance moved during the reconfiguration. Numerical simulation is performed to confirm the effectiveness of the proposed method for the formation flight of fixed-wing UAVs.
{"title":"Fault Detection and Formation Flying Reconfiguration of UAVs","authors":"Yuta Araki, K. Uchiyama, Kai Masuda","doi":"10.1109/anzcc53563.2021.9628290","DOIUrl":"https://doi.org/10.1109/anzcc53563.2021.9628290","url":null,"abstract":"This paper describes the method for reconfiguring formations when some UAVs fail in a formation flight. We proposed fault detection using correlation coefficient and formation reconfiguration by applying the optimal allocation problem in this method. The correlation coefficient can detect faults by examining the similarity between the commanded value of the control input and the actual input. The optimal assignment problem can ensure a one-to-one assignment of UAVs to new target positions and minimize the total distance moved during the reconfiguration. Numerical simulation is performed to confirm the effectiveness of the proposed method for the formation flight of fixed-wing UAVs.","PeriodicalId":246687,"journal":{"name":"2021 Australian & New Zealand Control Conference (ANZCC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123460523","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 : 2021-11-25DOI: 10.1109/anzcc53563.2021.9628361
H. Patel, V. Shah
Fuzzy Inference Systems (FIS) are now widely employed to regulate a wide range of safety-critical engineering systems. The main reason for this is that FIS may be created using expert human knowledge. Furthermore, with the introduction of Type-2 Fuzzy Logic, the ability to handle uncertainty offers an alluring improvement for fault-tolerant abilities in fault-tolerant control methods, and, in fact, recent studies have shown that the use of Interval Type-2 Fuzzy Inference Systems (IT2 FIS) provides better results than Type-1 Fuzzy Inference Systems (T1 FIS).The current research intends to suggest a novel strategy employing Shadowed Type-2 Fuzzy Inference System (ST2 FIS) for significant features in fault-tolerant capability in the Passive Fault-Tolerant Control (PFTC) method based on the performance increase shown by IT2 FIS. The ST2 FIS is based on the ideas of Shadowed Fuzzy Sets and is an approximation of General Type-2 Fuzzy Inference Systems (GT2 FIS). The fundamental rationale for utilising ST2 FIS instead of GT2 FIS is that the computational cost of GT2 FIS is too high for this application. The simulation results for the FTC using IT2 FIS and FTC using ST2 FIS for Coupled Conical Tank Level Control (CCTLC) system with 30 % and 40% loss of effectiveness in the main actuator are presented in this study. In addition, the article compares the proposed FTC approach using ST2 FIS to FTC using IT2 FIS in terms of fault-recovery time.
{"title":"General Type-2 Fuzzy Logic Systems Using Shadowed Sets: A New Paradigm Towards Fault-Tolerant Control","authors":"H. Patel, V. Shah","doi":"10.1109/anzcc53563.2021.9628361","DOIUrl":"https://doi.org/10.1109/anzcc53563.2021.9628361","url":null,"abstract":"Fuzzy Inference Systems (FIS) are now widely employed to regulate a wide range of safety-critical engineering systems. The main reason for this is that FIS may be created using expert human knowledge. Furthermore, with the introduction of Type-2 Fuzzy Logic, the ability to handle uncertainty offers an alluring improvement for fault-tolerant abilities in fault-tolerant control methods, and, in fact, recent studies have shown that the use of Interval Type-2 Fuzzy Inference Systems (IT2 FIS) provides better results than Type-1 Fuzzy Inference Systems (T1 FIS).The current research intends to suggest a novel strategy employing Shadowed Type-2 Fuzzy Inference System (ST2 FIS) for significant features in fault-tolerant capability in the Passive Fault-Tolerant Control (PFTC) method based on the performance increase shown by IT2 FIS. The ST2 FIS is based on the ideas of Shadowed Fuzzy Sets and is an approximation of General Type-2 Fuzzy Inference Systems (GT2 FIS). The fundamental rationale for utilising ST2 FIS instead of GT2 FIS is that the computational cost of GT2 FIS is too high for this application. The simulation results for the FTC using IT2 FIS and FTC using ST2 FIS for Coupled Conical Tank Level Control (CCTLC) system with 30 % and 40% loss of effectiveness in the main actuator are presented in this study. In addition, the article compares the proposed FTC approach using ST2 FIS to FTC using IT2 FIS in terms of fault-recovery time.","PeriodicalId":246687,"journal":{"name":"2021 Australian & New Zealand Control Conference (ANZCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124320803","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 : 2021-11-25DOI: 10.1109/anzcc53563.2021.9628298
Vickneswaran Artheec Kumar, Z. Cao, Deshan Thayabaran, Don Bombuwela
In control systems, uncertain delays are unavoidable in communication channels. Further, the requirement to track and reject periodic signals has many applications in engineering. However, in most cases disturbances to be compensated are not just periodic but can also be aperiodic. This paper presents a novel Repetitive controller based disturbance observer (RCDOB) to reject both periodic and aperiodic disturbances while being able to track periodic signals in systems with uncertain communication delays.
{"title":"Repetitive Control based Disturbance Observer for Uncertain Communication Delays","authors":"Vickneswaran Artheec Kumar, Z. Cao, Deshan Thayabaran, Don Bombuwela","doi":"10.1109/anzcc53563.2021.9628298","DOIUrl":"https://doi.org/10.1109/anzcc53563.2021.9628298","url":null,"abstract":"In control systems, uncertain delays are unavoidable in communication channels. Further, the requirement to track and reject periodic signals has many applications in engineering. However, in most cases disturbances to be compensated are not just periodic but can also be aperiodic. This paper presents a novel Repetitive controller based disturbance observer (RCDOB) to reject both periodic and aperiodic disturbances while being able to track periodic signals in systems with uncertain communication delays.","PeriodicalId":246687,"journal":{"name":"2021 Australian & New Zealand Control Conference (ANZCC)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124685541","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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