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Neural Network-Based Distributed Finite-Time Tracking Control of Uncertain Multi-Agent Systems With Full State Constraints

Qiutong Ji, Gang Chen, Qiurui He
2020 IEEE Access  
Nevertheless, it is noted that the finite-time tracking control of the uncertain multi-agent system with full state constraints is rarely considered.  ...  CONCLUSION In this paper, the distributed finite-time tracking problem is discussed for a class of pure-feedback uncertain multiagent systems with full state constraints.  ... 
doi:10.1109/access.2020.3025966 fatcat:hezqamvu2vdfroqdif65yqsor4

2019 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 49

2019 IEEE Transactions on Systems, Man & Cybernetics. Systems  
Finite-Time Adaptive Fuzzy Control for Nonlinear Systems With Full State Constraints.  ...  ., +, TSMC Nov. 2019 2242-2253 Finite-Time Adaptive Fuzzy Control for Nonlinear Systems With Full State Constraints.  ...  Open loop systems  ... 
doi:10.1109/tsmc.2019.2956665 fatcat:xhplbanlyne7nl7gp2pbrd62oi

2020 Index IEEE Transactions on Cybernetics Vol. 50

2020 IEEE Transactions on Cybernetics  
., Reference Trajectory Reshaping Optimi-zation and Control of Robotic Exoskeletons for Human-Robot Co-Manipulation; TCYB Aug. 2020 3740-3751 Wu, X., Jiang, B., Yu, K., Miao, c., and Chen, H  ...  ., +, TCYB Feb. 2020 587-599 Adaptive Fuzzy Control With High-Order Barrier Lyapunov Functions for High-Order Uncertain Nonlinear Systems With Full-State Constraints.  ...  ., +, TCYB Feb. 2020 587-599 Adaptive Fuzzy Control With High-Order Barrier Lyapunov Functions for High-Order Uncertain Nonlinear Systems With Full-State Constraints.  ... 
doi:10.1109/tcyb.2020.3047216 fatcat:5giw32c2u5h23fu4drupnh644a

2019 Index IEEE Transactions on Fuzzy Systems Vol. 27

2019 IEEE transactions on fuzzy systems  
Adaptive Fuzzy Containment Control of Nonlinear Strict-Feedback Systems With Full State Constraints.  ...  Li, X., +, TFUZZ Nov. 2019 2090-2100 Distributed control Adaptive Fuzzy Containment Control of Nonlinear Strict-Feedback Systems With Full State Constraints.  ...  Nonlinear filters Adaptive Neuro-Fuzzy Control for Discrete-Time Nonaffine Nonlinear Systems. Gil  ... 
doi:10.1109/tfuzz.2020.2966828 fatcat:pgfo5oksjrdbpa5s534ky74bie

A Recent Survey of Event Triggered Control of Nonlinear Systems [article]

Raffay Yaqoob
2021 arXiv   pre-print
There are some issues related to this approach like non-linearity of systems, multi-agent communication, heterogeneity and Zeno effect in systems while monitoring, controlling faults and taking feedbacks  ...  The basic purpose of controls is to manage the internal operations of the system and detect any unwanted or uncertain situation.  ...  The solutions based on Global Finite-Time Control and Feedback Control Output are proposed for uncertain non-linear systems.  ... 
arXiv:2202.01684v1 fatcat:k5ai7lt7bvheddssgdsc6rqhu4

2021 Index IEEE Transactions on Fuzzy Systems Vol. 29

2021 IEEE transactions on fuzzy systems  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  ., +, TFUZZ June 2021 1601-1614 Finite-Time Adaptive Fuzzy Tracking Control for a Class of Nonlinear Systems With Full-State Constraints.  ...  ., +, TFUZZ April 2021 861-873 Finite-Time Adaptive Fuzzy Tracking Control for a Class of Nonlinear Systems With Full-State Constraints.  ... 
doi:10.1109/tfuzz.2021.3134727 fatcat:m66dl6wxdbgendhdx4bliy6nky

Optimized state feedback regulation of 3DOF helicopter system via extremum seeking

Rini Akmeliawati, Safanah M. Raafat
2013 2013 9th Asian Control Conference (ASCC)  
of Nonlinear Uncertain Systems Valiollah Ghaffari; Seyed Vahid Naghavi*; Ali Akbar Safavi 371 Event-trigged Control for Discrete-time Multi-agent Networks with Communication Delays Lulu Li*;  ...  - Time T-S Fuzzy Bilinear Stochastic Systems with infinite-distributed delays jiangrong LI* 453 Adaptive Control of a Three-Agent Surveillance Swarm with Constant Velocity Constraint Samet Guler  ... 
doi:10.1109/ascc.2013.6606363 dblp:conf/ascc/AkmeliawatiR13 fatcat:l7enyvdgurhpdl6yetwsst3u7y

Table of Contents

2022 IEEE Transactions on Circuits and Systems - II - Express Briefs  
Shao Finite-Time Adaptive Heading Tracking Control for Surface Vehicles With Full State Constraints . . . . . . . . . . . . . . . . . . . . . .  ...  Shi Finite-Time Formation Control of Second-Order Linear Multi-Agent Systems With Relative State Constraints: A Barrier Function Sliding Mode Control Approach . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tcsii.2022.3150651 fatcat:trtezarnqre4xhjklggje6zvoy

2020 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 50

2020 IEEE Transactions on Systems, Man & Cybernetics. Systems  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  Flight Vehicles With Full State Constraints.  ...  ., +, TSMC Nov. 2020 4056-4067 Discrete-Time Neural Network Approach for Tracking Control of Spherical The Specified Finite-Time Distributed Observers-Based Velocity-Free Atti-tude Synchronization for  ... 
doi:10.1109/tsmc.2021.3054492 fatcat:zartzom6xvdpbbnkcw7xnsbeqy

Author Index

2006 2006 14th Mediterranean Conference on Control and Automation  
Constrained Finite Time Control of Networked Systems with Uncertain Delays TEA2-3 Dube, M. N.  ...  Constrained Finite Time Control of Networked Systems with Uncertain Delays TEA2-3 Nikolakopoulos, G.  ... 
doi:10.1109/med.2006.328715 fatcat:rjjaot7sdzdsxe2ljxq56lfsdu

Deep Model Predictive Control with Stability Guarantees [article]

Prabhat K. Mishra, Mateus V. Gasparino, Andres E. B. Velsasquez, Girish Chowdhary
2021 arXiv   pre-print
This paper presents a deep learning based model predictive control algorithm for control affine nonlinear discrete time systems with matched and bounded state dependent uncertainties of unknown structure  ...  In order to avoid any unwanted behavior during the learning phase, a tube based model predictive controller is employed, which ensures satisfaction of constraints and input-to-state stability of the closed-loop  ...  We assume that the multi-agent system consists of a family of finite number of agents with each agent having the dynamics in the form (1) but , , ℎ, X, and U may be different for each agent.  ... 
arXiv:2104.07171v2 fatcat:v5rl2otd5fgstkdaunbxm2uaq4

Table of contents

2020 IEEE Transactions on Circuits and Systems - II - Express Briefs  
Casu 3073 Control Theory Topics in Circuits and Systems, Power Systems and Electronic Circuits Projectional Observers of Nonlinear Systems With Full-State Constraints . . . . . . . . . . . . . . . . .  ...  Li 3123 Finite-Time Consensus of Finite Field Networks With Stochastic Time Delays . . . . . . . . . . . . . . . . . . Y. Li, H. Li, and S.  ... 
doi:10.1109/tcsii.2020.3034472 fatcat:vihnrsgzbbb6de3qjq4sk2ogty

Neural Network-based Constrained Optimal Coordination for Heterogeneous Uncertain Nonlinear Multi-agent Systems [article]

Yutao Tang, Ding Wang
2022 arXiv   pre-print
We develop a composite distributed controller for each agent by a combination of internal model and neural network.  ...  Each agent has a private objective function and a steady-state constraint about its output.  ...  Note that neural network-based controls usually ensure control performance in the sense of semiglobal stability of the closed-loop systems [35, 36] .  ... 
arXiv:2005.10498v2 fatcat:zifypwb7trgc3kee4zyw7iecz4

Verification for Machine Learning, Autonomy, and Neural Networks Survey [article]

Weiming Xiang and Patrick Musau and Ayana A. Wild and Diego Manzanas Lopez and Nathaniel Hamilton and Xiaodong Yang and Joel Rosenfeld and Taylor T. Johnson
2018 arXiv   pre-print
This survey presents an overview of verification techniques for autonomous systems, with a focus on safety-critical autonomous cyber-physical systems (CPS) and subcomponents thereof.  ...  Autonomy in CPS is enabling by recent advances in artificial intelligence (AI) and machine learning (ML) through approaches such as deep neural networks (DNNs), embedded in so-called learning enabled components  ...  In [86] , an adaptive neural network control method is presented for a class of SISO nonlinear systems with both unknown function and the full-state constraints.  ... 
arXiv:1810.01989v1 fatcat:a5ax66lsxbho3fuxuh55ypnm6m

Neuro-adaptive cooperative tracking control with prescribed performance of unknown higher-order nonlinear multi-agent systems

Hashim A. Hashim, Sami El-Ferik, Frank L. Lewis
2017 International Journal of Control  
This paper is concerned with the design of a distributed cooperative synchronization controller for a class of higher-order nonlinear multi-agent systems.  ...  Keywords: Prescribed performance, Transformed error, Multi-agents, Neuro-Adaptive, Distributed adaptive control, Consensus, Transient, Steady-state error, Communication graph, Networked Systems, Synchronization  ...  Acknowledgment The authors received no financial support for the research, authorship, and/or publication of this article.  ... 
doi:10.1080/00207179.2017.1359422 fatcat:6ndbdxfucbcgfeurjx4mq7i2gq
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