"Recent Advances in Intelligent Control Systems" gathers contributions from workers around the world and presents them in four categories according to the style of control employed: fuzzy control; neural control; fuzzy neural control; and intelligent control. The contributions illustrate the interdisciplinary antecedents of intelligent control and contrast its results with those of moretraditional control methods. A variety of design examples, drawn primarily from robotics and mechatronics but also representing process and production engineering, large civil structures, network flows, and others, provide instances of the application of computational intelligence for control. Presenting state-of-the-art research, this collection will be of benefit to researchers in automatic control, automation, computer science (especially artificial intelligence) and mechatronics while graduate students and practicing control engineers working with intelligent systems will find it a good source of study material.Surveys the state of the art in intelligent control systems giving the researcher and practitioner a self-contained reference to the latest results A broadranging tutorial in the key topics in fuzzy and neural control for the student INDICE: From the contents Part I: Fuzzy Control.- Fuzzy Control of Large Civil Structures Subjected to Natural Hazards.- Approaches to Robust H-infinityController Synthesis of Nonlinear Discrete-time-delay Systems via Takagi-Sugeno Fuzzy Models.- H-infinity Fuzzy Control for Systems with Repeated Scalar Nonlinearities.- Stable Adaptive Compensation with Fuzzy Cerebellar Model Articulation for Overhead Cranes.- Part II: Neural Control.- Estimation and Control of Nonlinear Discrete-time Systems.- Neural Networks Based Probability DensityFunction Control for Stochastic Sytems.- Hybrid Differential Neural Network Identifier for Partially Uncertain Hybrid Systems.- Real-time Motion Planning of Kinematically Redundant Manipulators Using Recurrent Neural Networks.- Adaptive Neural Control of Uncertain Multi-variable Nonlinear Systems with Saturation and Dead-zone.- Part III: Fuzzy Neural Control.-An Online Self-constructingFuzzy Neural Network with Restrictive Growth.
- ISBN: 978-1-84882-547-5
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 395
- Fecha Publicación: 01/06/2009
- Nº Volúmenes: 1
- Idioma: Inglés