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Quantized feedback stabilization of linear systems

IEEE Transactions on Automatic Control · 2000 · Vol. 45(7) · pp. 1279–1289
R. BrockettDaniel Liberzon

Abstract

This paper addresses feedback stabilization problems for linear time-invariant control systems with saturating quantized measurements. We propose a new control design methodology, which relies on the possibility of changing the sensitivity of the quantizer while the system evolves. The equation that describes the evolution of the sensitivity with time (discrete rather than continuous in most cases) is interconnected with the given system (either continuous or discrete), resulting in a hybrid system. When applied to systems that are stabilizable by linear time-invariant feedback, this approach yields global asymptotic stability.

Stability and Control of Uncertain SystemsAdvanced Control Systems OptimizationAdaptive Control of Nonlinear SystemsControl theory (sociology)Exponential stabilityLinear systemSensitivity (control systems)Feedback controlMathematicsLTI system theoryStability (learning theory)Invariant (physics)Discrete time and continuous time
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References
Smooth stabilization implies coprime factorization
IEEE Transactions on Automatic Control · 1989 · 2,673 citations
Supervisory control of families of linear set-point controllers - Part I. Exact matching
IEEE Transactions on Automatic Control · 1996 · 1,462 citations
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