M
Mircea Lazar
Researcher at Eindhoven University of Technology
Publications - 289
Citations - 5082
Mircea Lazar is an academic researcher from Eindhoven University of Technology. The author has contributed to research in topics: Model predictive control & Lyapunov function. The author has an hindex of 31, co-authored 261 publications receiving 4531 citations. Previous affiliations of Mircea Lazar include University of California, Santa Barbara.
Papers
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Stabilizing Model Predictive Control of Hybrid Systems
TL;DR: A priori sufficient conditions for Lyapunov asymptotic stability and exponential stability are derived in the terminal cost and constraint set fashion, while allowing for discontinuous system dynamics and discontinuous MPC value functions.
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Min-max model predictive control of nonlinear systems : a unifying overview on stability
TL;DR: This survey distill from an extensive literature a general framework for synthesizing min-max MPC schemes with ana priori robust stability guarantee and introduces a general predictionmodel that covers a wide class of uncertainties, which includes bounded disturbances as well as state and input dependent disturbances (uncertainties).
Model predictive control of hybrid systems : stability and robustness
TL;DR: This thesis considers the stabilization and the robust stabilization of certain classes of hybrid systems using model predictive control, and builds a theoretical framework on stability and input-to-state stability that allows for discontinuous and nonlinear system dynamics.
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Event Based State Estimation With Time Synchronous Updates
Joris Sijs,Mircea Lazar +1 more
TL;DR: A general mathematical description of event sampling is proposed and a state estimator with a hybrid update is developed that can successfully cope with event based measurements and attains an asymptotically bounded error-covariance matrix.
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On input-to-state stability of min-max nonlinear model predictive control
TL;DR: It is shown that only input-to-state practical stability can be ensured in general for closed-loop min–max MPC systems; and new conditions for guaranteeing ISS are derived, using a dual-mode approach.