Robust fault-tolerant self-recovering control of nonlinear uncertain systems

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

Robust Control of A Class of Nonlinear Uncertain Systems Fault Tolerance Against Sensor Failures and Subsequent Self Recovery

In this paper, the problem of devising a fault-tolerant robust control for a class of nonlinear uncertain systems is investigated. Possible failures of the sensors measuring the state variables are considered, and robust measures are developed to identify the stability-vulnerable failures. Based on evaluation of the robust measures, a fault-tolerant robust control will switch itself among sever...

Output feedback based adaptive robust fault-tolerant control for a class of uncertain nonlinear systems

An adaptive robust approach for actuator fault-tolerant control of a class of uncertain nonlinear systems is proposed. The two chief ways in which the system performance can degrade following an actuator-fault are undesirable transients and unacceptably large steady-state tracking errors. Adaptive control based schemes can achieve good final tracking accuracy in spite of change in system parame...

Fuzzy Observer-based Robust Guaranteed Cost Fault-tolerant Design for Uncertain Nonlinear NCS

Through the comparison and analysis of some recent patents on the fault-tolerant designed method, this paper addresses the problem of robust guaranteed cost fault-tolerant for nonlinear networked control systems (NNCS) with network-induced delay and packed dropout. Firstly, we adopt observer and state-feedback control strategy, wherein states are immeasurable. Then, by constructing appropriate ...

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...