Litcius/Paper detail

Static Output Energy-to-Peak Control for Semi-Markov Jump Linear Systems With Phase-Type Distributions and Hidden Modes

O.L.V. Costa, André M. de Oliveira

2024IEEE Transactions on Automatic Control13 citationsDOI

Abstract

This paper studies the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$L_{2}-L_{\infty }$</tex-math></inline-formula> (also known as energy-to-peak) static output feedback control for continuous-time semi-Markov jump systems, with the jump times modeled through phase-type (PH) distributions. It is also assumed that the post-jump state variable of the semi-Markov model is not directly accessible and the controller has only access to an observed process related to this variable. The goal is to provide sufficient conditions for the design of static output feedback controllers satisfying an upper bound on the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$L_{2}-L_{\infty }$</tex-math></inline-formula> ratio in terms of Linear Matrix Inequalities (LMIs). Moreover, in order to reduce the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$L_{2}-L_{\infty }$</tex-math></inline-formula> upper bound ratio, a coordinate descent algorithm is also presented, starting from a feasible solution for the LMIs restrictions. Numerical examples are presented to illustrate the results.

Topics & Concepts

Control theory (sociology)JumpMathematicsType (biology)Phase (matter)Hidden Markov modelMarkov chainEnergy (signal processing)Linear systemMarkov processControl (management)Computer sciencePhysicsStatisticsMathematical analysisArtificial intelligenceQuantum mechanicsEcologyBiologyStability and Control of Uncertain SystemsAdvanced Control Systems Optimization
Static Output Energy-to-Peak Control for Semi-Markov Jump Linear Systems With Phase-Type Distributions and Hidden Modes | Litcius