NDLI: Adaptive fault-tolerant control for affine non-linear systems based on approximate dynamic programming

Content Provider	IET Digital Library
Author	Fan, Quan Yong Yang, Guang Hong
Abstract	This study investigates the fault-tolerant control problem for affine nonlinear systems with time-varying actuator gain and bias faults. In order to handle the actuator faults and guarantee the approximate optimal performance of the nominal non-linear dynamics, the approximate dynamic programming method is used to design a sliding mode fault-tolerant control policy. First, the actuator faults are estimated using a disturbance observer and a novel adaptive scheme. Based on the fault estimations, an integral sliding function is constructed and the reachability condition is derived. Then, an actor–critic algorithm with new weight tuning laws is given to learn the bounded nearly optimal control policy for the nominal dynamics. The convergence of the neural network weights is presented based on a Lyapunov analysis method. Finally, the simulation results are given to verify the efficacy of the developed method.
Starting Page	655
Ending Page	663
Page Count	9
ISSN	17518644
Volume Number	10
e-ISSN	17518652
Issue Number	Issue 6, Apr (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/10/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2015.1081
Journal	IET Control Theory & Applications
Publisher Date	2016-04-13
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Actor-critic Algorithm Actuating And Final Control Device Actuator Fault Actuators Adaptive Control Adaptive Fault-tolerant Control Problem Affine Nonlinear System Affine Transforms Approximate Dynamic Programming Method Approximate Optimal Performance Bias Fault Combinatorial Mathematics Disturbance Observer Dynamic Programming Fault Tolerant Control Integral Sliding Function Integral Transforms Lyapunov Analysis Method Lyapunov Method Modelling And Identification Multivariable Control System Neural Network Weight Neurocontrol Neurocontrollers Nonlinear Control System Nonlinear Dynamical System Nonlinear Dynamics Observers Optimal Control Optimal Control Policy Optimisation Technique Reachability Analysis Reachability Condition Self Adjusting Control System Simulation Sliding Mode Fault-tolerant Control Policy Stability in Control Theory Time Varying Control System Time Varying System Time-varying Actuator Gain Variable Structure System
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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