Observer-Based Decentralized Predictor Control for Large-Scale Interconnected Systems With Large Delays
Yang Zhu, Emilia Fridman
Abstract
This article proposes a decentralized predictor-based output feedback to compensate for large delays in large-scale interconnected systems under the premise that the interconnections between subsystems are not strong. The full state of each subsystem is assumed to be unmeasurable and the observer-based output feedback is employed. Two methods are used to tackle the large delays: the backstepping-based partial differential equation (PDE) approach and the reduction-based ordinary differential equation (ODE) approach. The PDE method is used for continuous-time control and manages with larger delays, whereas the ODE method is applicable to sampled-data implementation under discrete-time measurement.
Topics & Concepts
BacksteppingOdeControl theory (sociology)Observer (physics)Ordinary differential equationComputer sciencePartial differential equationDecentralised systemScale (ratio)Control (management)MathematicsControl engineeringDifferential equationEngineeringAdaptive controlApplied mathematicsMathematical analysisQuantum mechanicsArtificial intelligencePhysicsStability and Control of Uncertain SystemsAdvanced Control Systems OptimizationAdaptive Control of Nonlinear Systems