Closed-loop fault-tolerant control for uncertain nonlinear systems

Robust Takagi-Sugeno sensor fault tolerant control strategy for nonlinear system

Adaptive Distributed Consensus Control for a Class of Heterogeneous and Uncertain Nonlinear Multi-Agent Systems

This paper has been devoted to the design of a distributed consensus control for a class of uncertain nonlinear multi-agent systems in the strict-feedback form. The communication between the agents has been described by a directed graph. Radial-basis function neural networks have been used for the approximation of the uncertain and heterogeneous dynamics of the followers as well as the effect o...

Adaptive Fuzzy Backstepping Fault-tolerant Control for Uncertain Nonlinear Systems Based on Dynamic Surface

An adaptive fuzzy fault-tolerant control design scheme for a class of perturbed and strict feedback nonlinear systems with actuators faults is proposed. The fuzzy logic systems are used to approximate to the nonlinear functions and the fault functions of systems. The continuous robust term is adopted to minimize the influence of modeling error or disturbance. Meanwhile, the dynamic surface cont...

Robust Active Fault-tolerant Control for a Class of Uncertain Nonlinear Systems with Actuator Faults

For a class of uncertain nonlinear systems with actuator faults, robust active fault-tolerant control is investigated based on the adaptive observer, feedback linearization, and backstepping design theory. Time-varying faults and bounded uncertainty are simultaneously considered in the paper. An adaptive observer is firstly constructed to estimate the faults and then a backstepping-based active...

A Linear Matrix Inequality (LMI) Approach to Robust Model Predictive Control (RMPC) Design in Nonlinear Uncertain Systems Subjected to Control Input Constraint

In this paper, a robust model predictive control (MPC) algorithm is addressed for nonlinear uncertain systems in presence of the control input constraint. For achieving this goal, firstly, the additive and polytopic uncertainties are formulated in the nonlinear uncertain systems. Then, the control policy can be demonstrated as a state feedback control law in order to minimize a given cost funct...