Non-Model Based Expansion from Limited Points to an Augmented Set of Points Using Chebyshev Polynomials
Sign Up to like & getrecommendations! Published in 2019 at "Experimental Techniques"
DOI: 10.1007/s40799-018-00300-0
Abstract: Expansion of measured dynamic response at a limited set of points is of great interest in the study of structural dynamic systems. Measurements at limited points on a structure can be expanded to unmeasured points… read more here.
Keywords: expansion; shape; model; augmented set ... See more keywords
Anti-windup TS Fuzzy PI-like Control for Discrete-Time Nonlinear Systems with Saturated Actuators
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-019-00781-0
Abstract: This paper deals with piecewise constant set-points tracking control of nonlinear discrete-time systems represented by Takagi-Sugeno models under actuators’ saturation. To this end, a fuzzy Proportional Integral-like (PI-like) discrete-time control scheme is considered, which consists… read more here.
Keywords: discrete time; control; time; like control ... See more keywords
Disturbance observer-based dynamic optimal setting control
Sign Up to like & getrecommendations! Published in 2018 at "Iet Control Theory and Applications"
DOI: 10.1049/iet-cta.2018.5013
Abstract: This study deals with optimal operational control problems using a novel approach where a performance index is optimised by controller design together with set-points reselection. Firstly, the operational indices are obtained by employing some optimisation… read more here.
Keywords: based dynamic; control; disturbance observer; observer based ... See more keywords
Efficient algorithms for online tracking of set points in robust model predictive control
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DOI: 10.1080/00207721.2017.1280551
Abstract: ABSTRACT This paper presents some computationally efficient algorithms for online tracking of set points in robust model predictive control context subject to state and input constraints. The nonlinear systems are represented by a linear model… read more here.
Keywords: model predictive; efficient algorithms; control; model ... See more keywords
Data-Driven Pareto-DE-Based Intelligent Optimal Operational Control for Stochastic Processes
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2019.2936452
Abstract: In this article, the optimal operational control problem is considered for complex industrial processes with stochastic disturbances. The performance index is optimized by set points reselection on the operational control layer together with controllers design… read more here.
Keywords: optimal operational; control; operational control; set points ... See more keywords