Titlebook: Recent Advances on Hybrid Intelligent Systems; Oscar Castillo,Patricia Melin,Janusz Kacprzyk Book 2013 Springer-Verlag Berlin Heidelberg 2

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Book 2013ition, time series prediction and optimization of complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is

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Optimization of a Fuzzy Tracking Controller for an Autonomous Mobile Robot under Perturbed Torques bions is applied to solve this motion problem 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.

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Particle Swarm Optimization for Average Approximation of Interval Type-2 Fuzzy Inference Systems Desystem (AT2-FIS), the AT2-FIS is synthesized in VHDL code for FPGAs. The PSO method considers three objective functions, overshoot, undershoot and steady state error because the real application is to control the speed of a DC motor. Several experiments were performed to optimize the AT2-FIS in FPGA.

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Genetic Optimization of Membership Functions in Modular Fuzzy Controllers for Complex Problems5 individual controllers. Simulation results with a genetic algorithm for optimizing membership functions of the 5 controllers are presented. Simulation results show that the proposed modular control approach offers advantages over existing control methods.

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Designing Systematic Stable Fuzzy Logic Controllers by Fuzzy Lyapunov Synthesisication has been in Control Engineering applications. Stability is one of the most important issues of control systems. This determines the system to respond in an acceptable way. This work is based on the fuzzy Lyapunov synthesis in the design of fuzzy controllers, to verify the system’s stability.