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Finally, in Chapter 5, the author proposes solving the problem of predictive control of hybrid systems.Ĭontents 1. The proposed approach is presented along with real-life experiments, proving the efficiency of the methodology. The third and fourth chapters are the core of the book where the design and optimization of control law, using the metaheuristic method (particle swarm optimization), is given. In Chapter 2, he deals with the problem of system identification. The first chapter outlines the author’s main motivations for the approach which he proposes, and presents the advantages which it offers. These kinds of algorithm can optimize any criterion and constraint, and therefore do not need such simplifications and reformulations. This book presents a new trend in Automatic Control with the use of metaheuristic algorithms. However, this approach fails when the system is too complex for its model to be sufficiently simplified, when the designer has many constraints to take into account, or when the goal is not only to design a control but also to optimize it. In this framework, the control law can be computed using deterministic algorithms. The classic approach in Automatic Control relies on the use of simplified models of the systems and reformulations of the specifications. The monograph can be used as a textbook for full-time and part-time PhD- and Master-students in the fields of «Automation and Mechatronics» and «Control in Technical Systems».
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It gives modern classification based on modeling and analytical research. Criticism of nonanalytic methods for calculating controllers is also provided and the advantages of methods based on numerical optimization are justified.Īlso, the monograph discusses adaptive and selfadjusting systems from the new point of view. The methods of designing such regulators are given and examples showing their advantage are presented. The requirements for an ideal linear automatic control system in the form of an ideal amplitude-frequency characteristic are justified. The possibility of achieving better results in an easier manner is demonstrated. It is shown that these regulators are more complex than the well-known and successfully used PIDregulators. The present study explores the possibility of achieving a commensurate or better result by a simpler controller in comparison with the well-known sophisticated methods of synthesizing PIλDμ-regulators.