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Guido Guardabassi was born on February 12, 1940, in Piacenza, Italy.
His research activity is documented by more than 50 papers in international journals and a significantly larger number of conference papers, chapters in scientific monographs, or articles in professional encyclopedias. The topics dealt with, fall in four main areas: 1) discrete complex systems (robust regulation of finite automata by output feedback, decomposition and asymptotic analysis of Markov chains, composite problem analysis as a unified framework for a variety of large-scale systems issues), 2) linear multivariable control (structural uncontrollability of the sensitivity coefficients, robust asymptotic decentralized regulation under uncertainty, and optimal tuning of the regulator parameters), 3) optimal periodic control (P-test for periodic regimes better than the optimal constant one), and 4) direct data-based control systems design, i.e. nicely-nonlinear modelling and control (identification of models tangent to a nonlinear plant at the nominal equilibrium and properly linearizable by output feedback) and virtual input methods, by which the controller design is recast as a standard identification problem. On the professional side, he has been dealing with a number of applications involving modelling, simulation, and control of power systems (damping of electro-mechanical oscillations by advanced voltage control), chemical (nonlinear dynamics of high-purity distillation columns) or thermal plants (high-precision temperature control in a radiators test chamber).
His research activity is documented by more than 50 papers in international journals and a significantly larger number of conference papers, chapters in scientific monographs, or articles in professional encyclopedias. The topics dealt with, fall in four main areas: 1) discrete complex systems (robust regulation of finite automata by output feedback, decomposition and asymptotic analysis of Markov chains, composite problem analysis as a unified framework for a variety of large-scale systems issues), 2) linear multivariable control (structural uncontrollability of the sensitivity coefficients, robust asymptotic decentralized regulation under uncertainty, and optimal tuning of the regulator parameters), 3) optimal periodic control (P-test for periodic regimes better than the optimal constant one), and 4) direct data-based control systems design, i.e. nicely-nonlinear modelling and control (identification of models tangent to a nonlinear plant at the nominal equilibrium and properly linearizable by output feedback) and virtual input methods, by which the controller design is recast as a standard identification problem. On the professional side, he has been dealing with a number of applications involving modelling, simulation, and control of power systems (damping of electro-mechanical oscillations by advanced voltage control), chemical (nonlinear dynamics of high-purity distillation columns) or thermal plants (high-precision temperature control in a radiators test chamber).
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Control Systems, IEEEno. 2 (2008): 104
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