On coparanormality in distributed supervisory control of discrete‐event systems
Sign Up to like & getrecommendations! Published in 2020 at "Asian Journal of Control"
DOI: 10.1002/asjc.2349
Abstract: Decomposition and localization of a supervisor are both reduction methods in distributed supervisory control of discrete‐event systems. Decomposition is employed to reduce the number of events and localization is used to reduce the number of… read more here.
Keywords: control discrete; distributed supervisory; supervisor; coparanormality ... See more keywords
Model predictive control for discrete and continuous timed Petri nets
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Automation and Computing"
DOI: 10.1007/s11633-016-1046-7
Abstract: The goal of this paper is to propose a unique control method that permits the evolution of both timed continuous Petri net (TCPN) and T-timed discrete Petri net (T-TDPN) from an initial state to a… read more here.
Keywords: model predictive; discrete continuous; control; predictive control ... See more keywords
UltraDES - A Library for Modeling, Analysis and Control of Discrete Event Systems
Sign Up to like & getrecommendations! Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.540
Abstract: Abstract In this paper a library of functions and data structures for analysis and control of Discrete Event Systems based in the. NET Framework is proposed. The main objective is to create an environment for… read more here.
Keywords: discrete event; analysis control; event systems; control discrete ... See more keywords
Improved results on observer-based control for discrete-time fuzzy systems
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2017.1324067
Abstract: ABSTRACT This paper is concerned with the design problem of observer-based H∞ control for discrete-time Takagi−Sugeno (T−S) fuzzy systems. New sufficient conditions guaranteeing the H∞ performance of the T−S fuzzy systems are derived. With the… read more here.
Keywords: discrete time; fuzzy systems; observer based; based control ... See more keywords
Learning control for discrete-time nonlinear systems with sensor saturation and measurement noises
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2017.1344894
Abstract: ABSTRACT The iterative learning control (ILC) is investigated for a class of nonlinear systems with measurement noises where the output is subject to sensor saturation. An ILC algorithm is introduced based on the measured output… read more here.
Keywords: measurement noises; nonlinear systems; sensor saturation; control discrete ... See more keywords
Quantized Static Output Feedback Control For Discrete-Time Systems
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2017.2774446
Abstract: This paper investigates the problem of output feedback control for discrete-time systems with two quantized signals in measurement output and control input. Since the measurement output and control input are quantized by general quantizers before… read more here.
Keywords: output feedback; discrete time; control; feedback control ... See more keywords
Robust tracking control with discrete-time LQR control for micromanipulators
Sign Up to like & getrecommendations! Published in 2018 at "Modern Physics Letters B"
DOI: 10.1142/s0217984918502019
Abstract: This paper presents a robust tracking control with discrete-time linear quadratic regulation (LQR) method for micromanipulators. The micromanipulator is composed of three piezoelectric actuators (P... read more here.
Keywords: robust tracking; discrete time; control; tracking control ... See more keywords
Output-Feedback Control for Discrete-Time Spreading Models in Complex Networks
Sign Up to like & getrecommendations! Published in 2018 at "Entropy"
DOI: 10.3390/e20030204
Abstract: The problem of stabilizing the spreading process to a prescribed probability distribution over a complex network is considered, where the dynamics of the nodes in the network is given by discrete-time Markov-chain processes. Conditions for… read more here.
Keywords: output feedback; discrete time; time spreading; feedback control ... See more keywords