Sliding Mode Control of Networked Control Systems: An Auxiliary Matrices-Based Approach
Huazhou Hou, Xinghuo Yu, Zao Fu
Abstract
A novel sliding mode control design method is developed to address the robust stabilization problem for uncertain time-varying networked control systems subject to state delay, which utilizes auxiliary matrices to avoid the difficulties of finding quadratic Lyapunov functions and solving the linear matrix inequalities. By embedding the original system into a higher dimensional system, simplified piecewise nonnegative functions can be used to analyze the system. Stability criteria are obtained which can be satisfied and verified easily. An optimization problem is defined based on these criteria, to obtain the sliding mode control parameters to ensure the exponential stability of the closed-loop system.
Topics & Concepts
Control theory (sociology)Sliding mode controlControl systemExponential stabilityLyapunov functionPiecewiseMathematicsEmbeddingQuadratic equationNetworked control systemStability (learning theory)State (computer science)Linear matrix inequalityMathematical optimizationComputer scienceControl (management)Nonlinear systemEngineeringAlgorithmElectrical engineeringMathematical analysisMachine learningPhysicsArtificial intelligenceGeometryQuantum mechanicsStability and Control of Uncertain SystemsAdaptive Control of Nonlinear SystemsControl and Stability of Dynamical Systems