Intelligent adaptive distributed consensus formation control for uncertain networked heterogeneous swedish-wheeled omnidirectional multi-robots

This paper presents an distributed consensus formation control using recurrent fuzzy wavelet neural networks (RFWNN) for a group of heterogeneous mobile three-Swedish-wheeled omnidirectional robots (TSWORs) with uncertainties. The dynamic behavior of each TSWOR is modelled by a three-input-three-output second-order state equation and the multirobot system is modeled by a directed graph. By online learning the system uncertainties using RFWNN and using the Lyapunov stability theory, an intelligent adaptive distributed consensus formation control approach is presented to carry out formation control in the presence of heterogeneity and uncertainties. Simulations are conducted to show the effectiveness and merits of the proposed method.

[1]  Ching-Chih Tsai,et al.  FPGA Implementation of an Embedded Robust Adaptive Controller for Autonomous Omnidirectional Mobile Platform , 2009, IEEE Transactions on Industrial Electronics.

[2]  Ching-Chih Tsai,et al.  Cooperative Localization Using Fuzzy Decentralized Extended Information Filtering for Homogenous Omnidirectional Mobile Multi-robot System , 2015, ICSSE.

[3]  C. L. Philip Chen,et al.  Fuzzy Observed-Based Adaptive Consensus Tracking Control for Second-Order Multiagent Systems With Heterogeneous Nonlinear Dynamics , 2016, IEEE Transactions on Fuzzy Systems.

[4]  Toru Namerikawa,et al.  Formation control of UAVs with a fourth-order flight dynamics , 2013, 52nd IEEE Conference on Decision and Control.

[5]  Fayez F. M. El-Sousy,et al.  Self-organizing recurrent fuzzy wavelet neural network-based mixed H2/H∞ adaptive tracking control for uncertain two-axis motion control system , 2015, 2015 IEEE Industry Applications Society Annual Meeting.

[6]  Ching-Chih Tsai,et al.  Self-tuning PID control using recurrent wavelet neural networks , 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

[7]  Ching-Chih Tsai,et al.  Adaptive backstepping decentralized formation control using fuzzy wavelet neural networks for uncertain mecanum-wheeled omnidirectional multi-vehicles , 2016, 2016 IEEE International Conference on Industrial Technology (ICIT).

[8]  P. Olver.  Nonlinear Systems , 2013 .

[9]  Ching-Chih Tsai,et al.  Parallel Elite Genetic Algorithm and Its Application to Global Path Planning for Autonomous Robot Navigation , 2011, IEEE Transactions on Industrial Electronics.

[10]  Lynne E. Parker,et al.  Distributed Intelligence: Overview of the Field and Its Application in Multi-Robot Systems , 2008, AAAI Fall Symposium: Regarding the Intelligence in Distributed Intelligent Systems.

[11]  C.-K. Lin,et al.  Nonsingular Terminal Sliding Mode Control of Robot Manipulators Using Fuzzy Wavelet Networks , 2006, IEEE Transactions on Fuzzy Systems.

[12]  Ching-Chih Tsai,et al.  FPGA-Based Parallel DNA Algorithm for Optimal Configurations of an Omnidirectional Mobile Service Robot Performing Fire Extinguishment , 2011, IEEE Transactions on Industrial Electronics.

[13]  Ziyang Meng,et al.  Leaderless and Leader-Following Consensus With Communication and Input Delays Under a Directed Network Topology , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[14]  Richard M. Murray,et al.  Recent Research in Cooperative Control of Multivehicle Systems , 2007 .

[15]  Ching-Chih Tsai,,et al.  Intelligent Adaptive Motion Controller Design for Mecanum Wheeled Omnidirectional Robots with Parameter Variations , 2010 .

[16]  Toru Namerikawa,et al.  Consensus-based cooperative formation control with collision avoidance for a multi-UAV system , 2014, 2014 American Control Conference.

[17]  Abhijit Das,et al.  Cooperative Control of Multi-Agent Systems , 2014 .

[18]  Yeong-Hwa Chang,et al.  Fuzzy Sliding-Mode Formation Control for Multirobot Systems: Design and Implementation , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).