Recent advances in intelligent control systems [electronic resource] / edited by Wen Yu.
Intelligent control -- control based on fuzzy logic and neural networks -- has changed the face of industrial control engineering whether in terms of autonomous spacecraft operation, exploratory robots or increasing the profitability of mineral-processing or steel-rolling plants. Recent Advances in...
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| Format: | Electronic eBook |
| Language: | English |
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Dordrecht ; New York :
Springer,
©2009.
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| Subjects: |
MARC
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| 245 | 0 | 0 | |a Recent advances in intelligent control systems |h [electronic resource] / |c edited by Wen Yu. |
| 260 | |a Dordrecht ; |a New York : |b Springer, |c ©2009. | ||
| 300 | |a 1 online resource (xviii, 376 pages) : |b illustrations (some color) | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Fuzzy Control of Large Civil Structures Subjected to Natural Hazards; Approaches to Robust H8 Controller Synthesis of Nonlinear Discrete-time-delay Systems via Takagi-Sugeno Fuzzy Models; H8 Fuzzy Control for Systems with Repeated Scalar Nonlinearities; Stable Adaptive Compensation with Fuzzy Cerebellar Model Articulation Controller for Overhead Cranes; Estimation and Control of Nonlinear Discrete-time Systems; Neural Networks Based Probability Density Function Control for Stochastic Systems; Hybrid Differential Neural Network Identifier for Partially Uncertain Hybrid Systems. | |
| 520 | |a Intelligent control -- control based on fuzzy logic and neural networks -- has changed the face of industrial control engineering whether in terms of autonomous spacecraft operation, exploratory robots or increasing the profitability of mineral-processing or steel-rolling plants. 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 more traditional 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 successful application of computational intelligence for control. | ||
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Intelligent control systems. |0 http://id.loc.gov/authorities/subjects/sh88003681. | |
| 650 | 0 | |a Fuzzy systems. |0 http://id.loc.gov/authorities/subjects/sh85052628. | |
| 650 | 0 | |a Neural networks (Computer science) |0 http://id.loc.gov/authorities/subjects/sh90001937. | |
| 650 | 7 | |a Fuzzy systems. |2 fast |0 (OCoLC)fst00936814. | |
| 650 | 7 | |a Intelligent control systems. |2 fast |0 (OCoLC)fst00975911. | |
| 650 | 7 | |a Neural networks (Computer science) |2 fast |0 (OCoLC)fst01036260. | |
| 700 | 1 | |a Yu, Wen |c (Robotics engineer) |0 http://id.loc.gov/authorities/names/no2002010571. | |
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