H
Hamid Reza Karimi
Researcher at Polytechnic University of Milan
Publications - 981
Citations - 31217
Hamid Reza Karimi is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Control theory & Nonlinear system. The author has an hindex of 83, co-authored 874 publications receiving 24361 citations. Previous affiliations of Hamid Reza Karimi include University of Wollongong & University of Bremen.
Papers
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Book ChapterDOI
Observer-based robust H∞ vibration control of a half-car active suspension system: A finite-time approach
TL;DR: Applying the Lyapunov function approach, sufficient conditions are established to control the bounce and pitch vibrations in half-car active suspension system, stabilize the attitude of the vehicle, and improve the riding comfort.
Proceedings ArticleDOI
A modified observer-based prediction approach for industrial applications
Zuolong Wei,Hamid Reza Karimi +1 more
TL;DR: A novel data-driven design of variable predictor is proposed, modified from the observer-based fault diagnose method, adopted for the dynamic systems due to the superior tracking ability of output observer.
Proceedings ArticleDOI
H ∞ controller design for the synchronization of a hyper-chaotic system
TL;DR: Based on Lyapunov stability theory and linear matrix inequality techniques, the multi-dimensional and the single-dimensional robust H∞ synchronization controllers are constructed for the possible application in practical engineering.
Proceedings Article
H ∞ control for network control systems with stochastic sampling
TL;DR: The continuous-time model with a variable satisfying a Bernoulli distribution is established for network control systems with stochastic sampling by employing the input-delay approach and sufficient conditions are obtained, which guarantee the mean-square exponential stability of the system with an H∞ performance.
Proceedings ArticleDOI
Robust H; ∞ filtering for 2-D FM systems: A finite frequency approach
TL;DR: A generalized bounded real lemma (BRL) is first derived for FF H∞ performance analysis of nominal 2-D FM LSS systems, and then a method, in terms of solving optimization problems with LMI constraints, is presented for robust FF H ∞ filter analysis and design.