Partial State Constraints-Based Control for Nonlinear Systems With Backlash-Like Hysteresis

This paper focuses on the adaptive control problem for a class of nonlinear single-input single-output lower triangular systems with partial state constraints and unknown backlash-like hysteresis. To prevent the partial states from transgressing the predefined constrained region, a barrier Lyapunov function is presented, whose values will increase to infinity when any of its parameters grows to a given boundary value. To counteract the effect caused by the backlash-like hysteresis, an auxiliary variable with its adaptive mechanism is introduced in the backstepping technique. At the same time, the output of the considered systems can track the reference signal, and all the variables in the design procedure are uniformly ultimate boundedness. In the end, a numerical example is employed to validate the efficiency of the developed theoretical method.

[1]  Lu Bai,et al.  Adaptive Neural Control of Uncertain Nonstrict-Feedback Stochastic Nonlinear Systems with Output Constraint and Unknown Dead Zone , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[2]  Lei Liu,et al.  Adaptive Neural Network Control for a DC Motor System with Dead-Zone , 2012, Nonlinear Dynamics.

[3]  Hongjing Liang,et al.  Adaptive Distributed Observer Approach for Cooperative Containment Control of Nonidentical Networks , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[4]  Shaocheng Tong,et al.  Neural Controller Design-Based Adaptive Control for Nonlinear MIMO Systems With Unknown Hysteresis Inputs , 2016, IEEE Transactions on Cybernetics.

[5]  Huaguang Zhang,et al.  Adaptive Predefined Performance Control for MIMO Systems With Unknown Direction via Generalized Fuzzy Hyperbolic Model , 2017, IEEE Transactions on Fuzzy Systems.

[6]  Yue Wang,et al.  Decentralized Adaptive Neural Approximated Inverse Control for a Class of Large-Scale Nonlinear Hysteretic Systems With Time Delays , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[7]  Shuzhi Sam Ge,et al.  Adaptive Control of a Flexible Crane System With the Boundary Output Constraint , 2014, IEEE Transactions on Industrial Electronics.

[8]  Keng Peng Tee,et al.  Adaptive Control of Electrostatic Microactuators With Bidirectional Drive , 2009, IEEE Transactions on Control Systems Technology.

[9]  Yongming Li,et al.  Adaptive output-feedback control design with prescribed performance for switched nonlinear systems , 2017, Autom..

[10]  C. L. Philip Chen,et al.  Adaptive Neural Output Feedback Control of Output-Constrained Nonlinear Systems With Unknown Output Nonlinearity , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[11]  Keng Peng Tee,et al.  Control of nonlinear systems with partial state constraints using a barrier Lyapunov function , 2011, Int. J. Control.

[12]  Lijie Wang,et al.  Adaptive Fuzzy Control for Nonstrict-Feedback Systems With Input Saturation and Output Constraint , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[13]  Peng Shi,et al.  Adaptive Neural Fault-Tolerant Control of a 3-DOF Model Helicopter System , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[14]  C. L. Philip Chen,et al.  Adaptive Fuzzy Control for a Class of Stochastic Pure-Feedback Nonlinear Systems With Unknown Hysteresis , 2016, IEEE Transactions on Fuzzy Systems.

[15]  Shaocheng Tong,et al.  Approximation-Based Adaptive Neural Tracking Control of Nonlinear MIMO Unknown Time-Varying Delay Systems With Full State Constraints , 2017, IEEE Transactions on Cybernetics.

[16]  Huaguang Zhang,et al.  Adaptive Fault-Tolerant Tracking Control for MIMO Discrete-Time Systems via Reinforcement Learning Algorithm With Less Learning Parameters , 2017, IEEE Transactions on Automation Science and Engineering.

[17]  Bing Chen,et al.  Adaptive Neural Tracking Control for a Class of Nonstrict-Feedback Stochastic Nonlinear Systems With Unknown Backlash-Like Hysteresis , 2014, IEEE Transactions on Neural Networks and Learning Systems.

[18]  Wei He,et al.  Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints , 2016, IEEE Transactions on Cybernetics.

[19]  Xinkai Chen,et al.  Adaptive Control for Uncertain Continuous-Time Systems Using Implicit Inversion of Prandtl-Ishlinskii Hysteresis Representation , 2010, IEEE Transactions on Automatic Control.

[20]  Tieshan Li,et al.  Adaptive Output Feedback Control of Uncertain Nonlinear Systems With Hysteresis Nonlinearity , 2012, IEEE Transactions on Automatic Control.

[21]  Peter Xiaoping Liu,et al.  Adaptive Intelligent Control of Nonaffine Nonlinear Time-Delay Systems With Dynamic Uncertainties , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[22]  Chun-Yi Su,et al.  Robust adaptive control of a class of nonlinear systems with unknown backlash-like hysteresis , 2000, IEEE Trans. Autom. Control..

[23]  Wei He,et al.  Dual-Loop Adaptive Iterative Learning Control for a Timoshenko Beam With Output Constraint and Input Backlash , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[24]  Shuzhi Sam Ge,et al.  Cooperative control of a nonuniform gantry crane with constrained tension , 2016, Autom..

[25]  Tao Feng,et al.  Distributed Optimal Consensus Control for Nonlinear Multiagent System With Unknown Dynamic , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[26]  Yue Wang,et al.  Adaptive Estimated Inverse Output-Feedback Quantized Control for Piezoelectric Positioning Stage , 2019, IEEE Transactions on Cybernetics.

[27]  Gang Tao,et al.  Adaptive control of plants with unknown hystereses , 1995 .