Chemical Optimization Algorithm for Fuzzy Controller Design
Springer International Publishing (Verlag)
978-3-319-05244-1 (ISBN)
In this book, a novel optimization method inspired by a paradigm from nature is introduced. The chemical reactions are used as a paradigm to propose an optimization method that simulates these natural processes. The proposed algorithm is described in detail and then a set of typical complex benchmark functions is used to evaluate the performance of the algorithm. Simulation results show that the proposed optimization algorithm can outperform other methods in a set of benchmark functions.
This chemical reaction optimization paradigm is also applied to solve the tracking problem for the dynamic model of a unicycle mobile robot by integrating a kinematic and a torque controller based on fuzzy logic theory. Computer simulations are presented confirming that this optimization paradigm is able to outperform other optimization techniques applied to this particular robot application.
Introduction.-
Theory and Background.-
Chemical Definitions.-
The Proposed Chemical Reaction Algorithm.-
Application Problems.-
Simulation Results.-
Conclusions.
Erscheint lt. Verlag | 26.3.2014 |
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Reihe/Serie | SpringerBriefs in Applied Sciences and Technology | SpringerBriefs in Computational Intelligence |
Zusatzinfo | VIII, 77 p. 32 illus. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 150 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Naturwissenschaften ► Chemie ► Physikalische Chemie | |
Technik ► Elektrotechnik / Energietechnik | |
Schlagworte | Chemical Optimization Algorithm • Fuzzy Controller Design • Optimization Method • Torque Controller • Unicycle Mobile Robot |
ISBN-10 | 3-319-05244-6 / 3319052446 |
ISBN-13 | 978-3-319-05244-1 / 9783319052441 |
Zustand | Neuware |
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