Open AccessAn Approach to the Design of Nonlinear State-Space Control Systems
Author(s) -
Claudiu Pozna,
RaduEmil Precup
Publication year - 2018
Publication title -
studies in informatics and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.321
H-Index - 22
eISSN - 1841-429X
pISSN - 1220-1766
DOI - 10.24846/v27i1y201801
Subject(s) - computer science , state space , nonlinear system , state (computer science) , control (management) , space (punctuation) , control theory (sociology) , artificial intelligence , algorithm , mathematics , operating system , physics , quantum mechanics , statistics
The state-space representation of systems is advantageous because of the manipulability of the matrices involved in state-space models. Accordingly, several methods have been developed to simulate the systems, to analyze their behaviours and to carry out the controller design in order to exhibit desired and/or imposed behaviours. In addition, as shown in [8] for optimal control, [24] for cascade control, [31] for robust control and [33] for minimum variance control, modelling the dynamics of complex systems by state-space models can guarantee high control system performance.
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