Robust Adaptive Control of Nonlinear Systems with Uncertainties

Ning Liu; Yu Sheng Liu; Qiang Yang

doi:10.4028/www.scientific.net/AMM.568-570.1108

Paper Titles

Application of DMC Algorithm on pH Control of WFGD System
p.1090

Generalized Projective Synchronization of Diverse Structures Hyperchaotic Systems with Unknown Parameters
p.1095

Pole Placement for Time-Delay Systems with Low-Order Controllers a Parameter Space Approach
p.1100

Research of the Inverted Pendulum System Based on the Linear Quadratic Optimal Control
p.1104

Robust Adaptive Control of Nonlinear Systems with Uncertainties
p.1108

The Environment Monitoring System of Refuge Cabin and its Simulation Based on Fuzzy-PID Algorithm
p.1113

The Framework Base on Bayesian Predictive Filtering Algorithm in VR/AR
p.1122

The Overall Training Evaluation of Command and Control System
p.1126

Using DCS to Realize Ball Mill Fuzzy Control System
p.1131

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Robust Adaptive Control of Nonlinear Systems with Uncertainties

Abstract:

This paper proposes a robust adaptive robust controller for nonlinear systems represented by input-output models with unmodeled dynamics. Under the circumstances that the output of the system is bounded, the proposed controller can guarantee that all the variables of the system are bounded in the presence of unmodeled dynamics and time-varying disturbances. The scheme does not need to generate an additional dynamic signal to dominate the effects of the unmodeled dynamics. It is shown that the mean-square tracking error can be made arbitrarily small by choosing some design parameters appropriately.