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On the design of nonautonomous fixed‐time controllers with a predefined upper bound of the settling time

David Gómez‐Gutiérrez

2020International Journal of Robust and Nonlinear Control73 citationsDOIOpen Access PDF

Abstract

Summary Recently, there has been a great deal of attention in a class of finite‐time stable dynamical systems, called fixed‐time stable, that exhibit uniform convergence with respect to its initial condition, that is, there exists an upper bound for the settling‐time (UBST) function, independent of the initial condition of the system. Of particular interest is the development of stabilizing controllers where the desired UBST can be selected a priori by the user since it allows the design of controllers to satisfy real‐time constraints. Unfortunately, existing methodologies for the design of controllers for fixed‐time stability exhibit the following drawbacks: on the one hand, in methods based on autonomous systems, either the UBST is unknown or its estimate is very conservative, leading to over‐engineered solutions; on the other hand, in methods based on time‐varying gains, the gain tends to infinity, which makes these methods unrealizable in practice. To bridge these gaps, we introduce a design methodology to stabilize a perturbed chain of integrators in a fixed‐time, with the desired UBST that can be set arbitrarily tight. Our approach consists of redesigning autonomous stabilizing controllers by adding time‐varying gains. However, unlike existing methods, we provide sufficient conditions such that the time‐varying gain remains bounded, making our approach realizable in practice.

Topics & Concepts

Control theory (sociology)A priori and a posterioriUpper and lower boundsConvergence (economics)Stability (learning theory)Set (abstract data type)IntegratorMathematicsSettling timeComputer scienceClass (philosophy)Controller (irrigation)Robust controlControl (management)Design methodsLyapunov functionStability theoryDynamical systems theoryControl systemExponential stabilityOutput feedbackInverseMathematical optimizationInverted pendulumStability and Control of Uncertain SystemsAdvanced Control Systems OptimizationModel Reduction and Neural Networks