Adaptive tracking control for a class of stochastic non‐linear systems with input delay: a novel approach based on multi‐dimensional Taylor network
Yu‐Qun Han
Abstract
In this study, by means of the techniques of adaptive multi‐dimensional Taylor network (MTN) control, the tracking problem of a class of stochastic non‐linear systems with input delay is studied. Firstly, based on the Padé approximation method, a new variable is employed to overcome the problem of input delay, and MTNs are applied to estimate the non‐linear functions in the design of the controller. Secondly, an adaptive MTN controller design scheme is developed in the framework of backstepping. Thirdly, the stability of the closed‐loop system is analysed using Lyapunov's stability theory. Finally, the effectiveness of the proposed design approach is demonstrated by two examples.
Topics & Concepts
Control theory (sociology)Tracking (education)Taylor seriesClass (philosophy)Computer scienceNonlinear systemAdaptive controlLinear systemControl (management)MathematicsArtificial intelligencePhysicsPedagogyQuantum mechanicsPsychologyMathematical analysisNeural Networks Stability and SynchronizationAdaptive Control of Nonlinear SystemsDistributed Control Multi-Agent Systems