Tracking Performance Guarantees in the Presence of Quantization for Uncertain Nonlinear Systems
Lampros N. Bikas, George A. Rovithakis
Abstract
In a networked control system (NCS) environment, where all closed-loop signals (control and state) are quantized, we consider the problem of establishing prescribed, transient, and steady-state, performance guarantees on the output tracking error (minimum convergence rate, maximum steady-state error). The controlled system is of high relative degree, multi-input multi-output (MIMO), uncertain, nonlinear, and time-varying. The proposed control solution is of low-complexity, in the sense that no hard calculations, analytic or numerical, are involved. Illustrative simulations clarify and verify the developed control scheme.
Topics & Concepts
Control theory (sociology)Nonlinear systemQuantization (signal processing)Tracking errorMIMOConvergence (economics)Computer scienceTransient (computer programming)Rate of convergenceTracking (education)Control systemSteady state (chemistry)Control (management)MathematicsEngineeringAlgorithmKey (lock)PedagogyComputer securityElectrical engineeringQuantum mechanicsPsychologyChemistryPhysicsPhysical chemistryEconomicsOperating systemEconomic growthChannel (broadcasting)Computer networkArtificial intelligenceAdaptive Control of Nonlinear SystemsStability and Control of Uncertain SystemsAdvanced Control Systems Optimization