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Engineering - Computational Intelligence and Complexity | Innovations in Intelligent Machines-5 - Computational Intelligence in Control Systems Engineering

Innovations in Intelligent Machines-5

Computational Intelligence in Control Systems Engineering

Balas, Valentina Emilia, Koprinkova-Hristova, Petia, Jain, Lakhmi C. (Eds.)

2014, XV, 248 p. 129 illus.

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  • Presents the emerging computational intelligence paradigms in control systems engineering
  • Including some real world applications
  • Written by leading experts in the field

This research monograph presents selected areas of applications in the field of control systems engineering using computational intelligence methodologies. A number of applications and case studies are introduced. These methodologies are increasing used in many applications of our daily lives. Approaches include, fuzzy-neural multi model for decentralized identification, model predictive control based on time dependent recurrent neural network development of cognitive systems, developments in the field of Intelligent Multiple Models based Adaptive Switching Control, designing military training simulators using modelling, simulation, and analysis for operational analyses and training, methods for modelling of systems  based on the application of Gaussian processes, computational intelligence techniques for process control and image segmentation technique based on modified particle swarm optimized-fuzzy entropy.

Content Level » Research

Keywords » Computational Intelligence - Control Systems Engineering

Related subjects » Artificial Intelligence - Computational Intelligence and Complexity - Control Engineering

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