Adaptive fault-tolerant time-varying formation tracking for multi-agent systems under actuator failure and input saturation.

This paper studies the time-varying formation tracking problem for general linear multi-agent systems with multiple leaders in the presence of both actuator failure and input saturation. The followers are required to uniquely determine and track the convex combination of the states of leaders, while maintaining a predefined time-varying formation. A hyperbolic tangent function is firstly introduced to modify the actuator model with input saturation constraint. Then, an augmented plant for dynamics of each follower is constructed to derive the control protocol by exploiting the dynamic surface control technique. The proposed control protocol deals with faults of bias and unknown bounded loss of effectiveness by means of adaptive fault-tolerant strategies, while a formation feasible condition should be satisfied. With the control signal generated by the augmented plant, the time-varying formation error is proved to be semi-globally uniformly bounded under the faults and input saturation, based on standard Lyapunov theory. Finally, a numerical simulation is implemented to demonstrate the effectiveness of the proposed algorithm.

[1]  Dan Zhang,et al.  Leader-follower H∞ consensus of linear multi-agent systems with aperiodic sampling and switching connected topologies. , 2017, ISA transactions.

[2]  Ying Wang,et al.  Multi-Robot Cooperative Transportation of Objects Using Machine Learning , 2011, Int. J. Robotics Autom..

[3]  Yingmin Jia,et al.  Neural network-based adaptive consensus tracking control for multi-agent systems under actuator faults , 2016, Int. J. Syst. Sci..

[4]  Cheng Wang,et al.  Completely Distributed Guaranteed-Performance Consensualization for High-Order Multiagent Systems With Switching Topologies , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[5]  Ya-Jun Pan,et al.  Input-Based Event-Triggering Consensus of Multiagent Systems Under Denial-of-Service Attacks , 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[6]  Tong Zhang,et al.  Design of Highly Nonlinear Substitution Boxes Based on I-Ching Operators , 2018, IEEE Transactions on Cybernetics.

[7]  Yan Lin,et al.  Distributed adaptive control for time-varying formation tracking of a class of networked nonlinear systems , 2017, Int. J. Control.

[8]  Lin Huang,et al.  Consensus of Multiagent Systems and Synchronization of Complex Networks: A Unified Viewpoint , 2016, IEEE Transactions on Circuits and Systems I: Regular Papers.

[9]  James Lam,et al.  Semiglobal Observer-Based Leader-Following Consensus With Input Saturation , 2014, IEEE Transactions on Industrial Electronics.

[10]  Daniel W. C. Ho,et al.  Fault-Tolerant Consensus of Multi-Agent System With Distributed Adaptive Protocol , 2015, IEEE Transactions on Cybernetics.

[11]  Housheng Su,et al.  Semi-global containment control of multi-agent systems with intermittent input saturation , 2015, J. Frankl. Inst..

[12]  Wei Wang,et al.  Distributed adaptive control for consensus tracking with application to formation control of nonholonomic mobile robots , 2014, Autom..

[13]  Guoqiang Hu,et al.  Time-Varying Formation Tracking for Linear Multiagent Systems With Multiple Leaders , 2017, IEEE Transactions on Automatic Control.

[14]  Zhang Ren,et al.  Time-Varying Formation Tracking for Second-Order Multi-Agent Systems Subjected to Switching Topologies With Application to Quadrotor Formation Flying , 2017, IEEE Transactions on Industrial Electronics.

[15]  Zhang Ren,et al.  Distributed Fault-Tolerant Time-Varying Formation Control for Second-Order Multi-Agent Systems With Actuator Failures and Directed Topologies , 2018, IEEE Transactions on Circuits and Systems II: Express Briefs.

[16]  Khashayar Khorasani,et al.  Actuator fault accommodation strategy for a team of multi-agent systems subject to switching topology , 2015, Autom..

[17]  Qinglei Hu,et al.  Adaptive fault-tolerant attitude control for satellite reorientation under input saturation , 2018, Aerospace Science and Technology.

[18]  Xinping Guan,et al.  Leader-following consensus protocols for formation control of multi-agent network , 2011 .

[19]  Yongcan Cao,et al.  Distributed Coordination of Multi-agent Networks , 2011 .

[20]  Zheng-Guang Wu,et al.  Exponential Synchronization via Aperiodic Sampling of Complex Delayed Networks , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[21]  Zhang Ren,et al.  Distributed fault-tolerant time-varying formation control for high-order linear multi-agent systems with actuator failures. , 2017, ISA transactions.

[22]  Guanrong Chen,et al.  An overview of coordinated control for multi-agent systems subject to input saturation☆ , 2016 .

[23]  Housheng Su,et al.  Observer-Based Robust Coordinated Control of Multiagent Systems With Input Saturation , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[24]  Abdelkader Abdessameud,et al.  On consensus algorithms for double-integrator dynamics without velocity measurements and with input constraints , 2010, Syst. Control. Lett..

[25]  Ahmed Rahmani,et al.  Distributed consensus-based formation control for multiple nonholonomic mobile robots with a specified reference trajectory , 2015, Int. J. Syst. Sci..

[26]  Yisheng Zhong,et al.  Time-Varying Formation Control for Unmanned Aerial Vehicles: Theories and Applications , 2015, IEEE Transactions on Control Systems Technology.

[27]  Yisheng Zhong,et al.  Time-varying formation control for unmanned aerial vehicles with switching interaction topologies , 2014, 2014 International Conference on Unmanned Aircraft Systems (ICUAS).

[28]  Yongduan Song,et al.  Robust fault-tolerant cooperative control of multi-agent systems: A constructive design method , 2015, J. Frankl. Inst..

[29]  Guang-Hong Yang,et al.  Secure Luenberger-like observers for cyber-physical systems under sparse actuator and sensor attacks , 2018, Autom..

[30]  Ya-Jun Pan,et al.  Event-Triggered Control for Consensus Problem in Multi-Agent Systems With Quantized Relative State Measurements and External Disturbance , 2018, IEEE Transactions on Circuits and Systems I: Regular Papers.

[31]  Xin Huang,et al.  Reliable Control Policy of Cyber-Physical Systems Against a Class of Frequency-Constrained Sensor and Actuator Attacks , 2018, IEEE Transactions on Cybernetics.

[32]  Zhong Wang,et al.  Dynamic Output Feedback Guaranteed-Cost Synchronization for Multiagent Networks With Given Cost Budgets , 2018, IEEE Access.

[33]  Guang-Hong Yang,et al.  Event-triggered secure observer-based control for cyber-physical systems under adversarial attacks , 2017, Inf. Sci..

[34]  Ji Huang,et al.  Robust Tracking Control of Networked Control Systems: Application to a Networked DC Motor , 2013, IEEE Transactions on Industrial Electronics.

[35]  Wei Ren,et al.  Consensus strategies for cooperative control of vehicle formations , 2007 .

[36]  Gang Feng,et al.  A Synchronization Approach to Trajectory Tracking of Multiple Mobile Robots While Maintaining Time-Varying Formations , 2009, IEEE Transactions on Robotics.

[37]  Lei Wang,et al.  Semi-global output consensus of discrete-time multi-agent systems with input saturation and external disturbances. , 2017, ISA transactions.