Further input-to-state stability subtleties for discrete-time systems
Mircea Lazar,Wpmh Maurice Heemels,Andrew R. Teel +2 more
- pp 613-618
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This article is published in UKACC International Conference on Control.The article was published on 2010-01-01 and is currently open access. It has received 8 citations till now. The article focuses on the topics: Discrete time and continuous time.read more
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Journal ArticleDOI
Output Feedback Model Predictive Control of Interval Type-2 T–S Fuzzy System With Bounded Disturbance
Xubin Ping,Witold Pedrycz +1 more
TL;DR: The recursive feasibility of the optimization problem and input-to-state stability of the closed-loop observer system with respect to the estimation error and bounded disturbance are ensured.
Journal ArticleDOI
Stabilization of Bilinear Power Converters by Affine State Feedback Under Input and State Constraints
TL;DR: The proposed synthesis method is applicable to power converters with a bilinear averaged model and comes with a guarantee of closed-loop stability under hard state and input constraints, which translates into a reduced cost of the control hardware, while nonconservative constraint handling yields a higher reliability of the power converter.
Journal ArticleDOI
Stability of periodically time-varying systems
TL;DR: This paper proposes a novel approach to stability analysis of discrete-time nonlinear periodically time-varying systems that allows for the calculation of a larger estimate of the region of attraction and shows the effectiveness of the developed theory.
Journal ArticleDOI
On parameterized dissipation inequalities and receding horizon robust control
Mircea Lazar,Rob H. Gielen +1 more
TL;DR: In this paper, the standard input-to-state stability (ISS) inequality for discrete-time nonlinear systems is considered, and a set of parameters for both the Lyapunov and the supply functions are assigned to each state and input.
Proceedings ArticleDOI
Tracking performance of model predictive control
P. Falugi,David Q. Mayne +1 more
TL;DR: This note characterises the set to which the tracking error converges and the associated region of convergence and proposes a model predictive control scheme for tracking a random reference and analyses its performance.
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