Aspects of Soft Computing, Intelligent Robotics and Control [electronic resource] /
Fodor, János.editor.
Soft computing, as a collection of techniques exploiting approximation and tolerance for imprecision and uncertainty in traditionally intractable problems, has become very effective and popular especially because of the synergy derived from its components. The integration of constituent technologies provides complementary methods that allow developing flexible computing tools and solving complex problems. A wide area of natural applications of soft computing techniques consists of the control of dynamic systems, including robots. Loosely speaking, control can be understood as driving a process to attain a desired goal. Intelligent control can be seen as an extension of this concept, to include autonomous human-like interactions of a machine with the environment. Intelligent robots can be characterized by the ability to operate in an uncertain, changing environment with the help of appropriate sensing. They have the power to autonomously plan and execute motion sequences to achieve a goal specified by a human user without detailed instructions. In this volume leading specialists address various theoretical and practical aspects in soft computing, intelligent robotics and control. The problems discussed are taken from fuzzy systems, neural networks, interactive evolutionary computation, intelligent mobile robotics, and intelligent control of linear and nonlinear dynamic systems.
Bibliographic Level Mode of Issuance: Monograph
Includes bibliogrphical references and index.
Soft Computing -- Pseudo-Analysis in Soft Computing -- Aggregation Functions in Fuzzy Systems -- Neural Networks or Fuzzy Systems -- New IEC Research and Frameworks -- Intelligent Robotics -- How to Generate and Realize Bipedal Gait in Unstructured Environments? -- PDAC-Based Brachiating Control of the Multi-Locomotion Robot -- A Simple Method for Generating Smooth Robot Arm Motion -- Fuzzy Inference-Based Mentality Expression for Eye Robot in Affinity Pleasure-Arousal Space -- Fuzzy Communication and Motion Control by Fuzzy Signatures in Intelligent Mobile Robots -- Intelligent Control -- Linear Switching Systems: Attainability and Controllability -- Indirect Adaptive Control Using Hopfield-Based Dynamic Neural Network for SISO Nonlinear Systems -- Fuzzy Immune Controller Synthesis for ABR Traffic Control in High-Speed Networks -- Takagi-Sugeno Type Fuzzy Automaton Model -- Control and Dynamics of Fractional Order Systems -- Adaptive Control Using Fixed Point Transformations for Nonlinear Integer and Fractional Order Dynamic Systems.
Soft computing, as a collection of techniques exploiting approximation and tolerance for imprecision and uncertainty in traditionally intractable problems, has become very effective and popular especially because of the synergy derived from its components. The integration of constituent technologies provides complementary methods that allow developing flexible computing tools and solving complex problems. A wide area of natural applications of soft computing techniques consists of the control of dynamic systems, including robots. Loosely speaking, control can be understood as driving a process to attain a desired goal. Intelligent control can be seen as an extension of this concept, to include autonomous human-like interactions of a machine with the environment. Intelligent robots can be characterized by the ability to operate in an uncertain, changing environment with the help of appropriate sensing. They have the power to autonomously plan and execute motion sequences to achieve a goal specified by a human user without detailed instructions. In this volume leading specialists address various theoretical and practical aspects in soft computing, intelligent robotics and control. The problems discussed are taken from fuzzy systems, neural networks, interactive evolutionary computation, intelligent mobile robotics, and intelligent control of linear and nonlinear dynamic systems.
Computational intelligence.
Artificial intelligence.
Control engineering.
Robotics.
Mechatronics.
Computational Intelligence.
Artificial Intelligence.
Control, Robotics, Mechatronics.