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Item Details
Title: FRONTIERS OF INTELLIGENT CONTROL AND INFORMATION PROCESSING
By: Cesare Alippi (Editor), Dongbin Zhao (Editor), Huaguang Zhang (Editor)
Format: Hardback

List price: £150.00
Our price: £135.00
Discount:
10% off
You save: £15.00
ISBN 10: 9814616877
ISBN 13: 9789814616874
Availability: Usually dispatched within 1-3 weeks.
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Stock: Currently 0 available
Publisher: WORLD SCIENTIFIC PUBLISHING CO PTE LTD
Pub. date: 14 August, 2014
Pages: 480
Description: The current research and development in intelligent control and information processing have been driven increasingly by advancements made from fields outside the traditional control areas, into new frontiers of intelligent control and information processing so as to deal with ever more complex systems with ever growing size of data and complexity.
Synopsis: The current research and development in intelligent control and information processing have been driven increasingly by advancements made from fields outside the traditional control areas, into new frontiers of intelligent control and information processing so as to deal with ever more complex systems with ever growing size of data and complexity.As researches in intelligent control and information processing are taking on ever more complex problems, the control system as a nuclear to coordinate the activity within a system increasingly need to be equipped with the capability to analyze, and reason so as to make decision. This requires the support of cognitive components, and communication protocol to synchronize events within the system to operate in unison.In this review volume, we invited several well-known experts and active researchers from adaptive/approximate dynamic programming, reinforcement learning, machine learning, neural optimal control, networked systems, and cyber-physical systems, online concept drift detection, pattern recognition, to contribute their most recent achievements into the development of intelligent control systems, to share with the readers, how these inclusions helps to enhance the cognitive capability of future control systems in handling complex problems.This review volume encapsulates the state-of-art pioneering works in the development of intelligent control systems. Proposition and evocations of each solution is backed up with evidences from applications, could be used as references for the consideration of decision support and communication components required for today intelligent control systems.
Publication: Singapore
Imprint: World Scientific Publishing Co Pte Ltd
Returns: Returnable
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ADAPTIVE DYNAMIC PROGRAMMING FOR CONTROL (HB)
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ADAPTIVE DYNAMIC PROGRAMMING WITH APPLICATIONS IN OPTIMAL CONTROL (PB)
ADVANCES IN BRAIN INSPIRED COGNITIVE SYSTEMS (PB)
ADVANCES IN BRAIN INSPIRED COGNITIVE SYSTEMS (PB)
ADVANCES IN COMPUTATIONAL INTELLIGENCE (PB)
ADVANCES IN COMPUTATIONAL INTELLIGENCE: THEORY AND APPLICATIONS (HB)
ADVANCES IN NEURAL NETWORKS (PB)
ADVANCES IN NEURAL NETWORKS - ISNN 2007 (PB)
ADVANCES IN NEURAL NETWORKS - ISNN 2007 (PB)
ADVANCES IN NEURAL NETWORKS - ISNN 2015 (PB)
ADVANCES IN NEURAL NETWORKS -- ISNN 2011 (PB)
ADVANCES IN NEURAL NETWORKS -- ISNN 2011 (PB)
ARTIFICIAL INTELLIGENCE IN THE AGE OF NEURAL NETWORKS AND BRAIN COMPUTING (PB)
ARTIFICIAL NEURAL NETWORKS - ICANN 2009 (PB)
ARTIFICIAL NEURAL NETWORKS - ICANN 2009 (PB)
CONTROLLING CHAOS (HB)
CONTROLLING CHAOS (PB)
COOPERATIVE TRACKING CONTROL AND REGULATION FOR A CLASS OF MULTI-AGENT SYSTEMS
COOPERATIVE TRACKING CONTROL AND REGULATION FOR A CLASS OF MULTI-AGENT SYSTEMS (HB)
DYNAMICAL SYSTEMS WITH SATURATION NONLINEARITIES (PB)
FAULT-TOLERANT CONTROL FOR TIME-VARYING DELAYED T-S FUZZY SYSTEMS
FAULT-TOLERANT CONTROL FOR TIME-VARYING DELAYED T-S FUZZY SYSTEMS (HB)
FUNDAMENTALS OF COMPUTATIONAL INTELLIGENCE
FUNDAMENTALS OF COMPUTATIONAL INTELLIGENCE
FUNDAMENTALS OF COMPUTATIONAL INTELLIGENCE (HB)
FUZZY MODELING AND FUZZY CONTROL (HB)
INTELLIGENCE FOR EMBEDDED SYSTEMS (HB)
INTELLIGENCE FOR EMBEDDED SYSTEMS (PB)
NETWORKED CONTROL SYSTEMS (HB)
NETWORKED CONTROL SYSTEMS (PB)
QUALITATIVE ANALYSIS AND SYNTHESIS OF RECURRENT NEURAL NETWORKS
QUALITATIVE ANALYSIS AND SYNTHESIS OF RECURRENT NEURAL NETWORKS (HB)
REINFORCEMENT LEARNING AND APPROXIMATE DYNAMIC PROGRAMMING FOR FEEDBACK CONTROL
REINFORCEMENT LEARNING AND APPROXIMATE DYNAMIC PROGRAMMING FOR FEEDBACK CONTROL
REINFORCEMENT LEARNING AND APPROXIMATE DYNAMIC PROGRAMMING FOR FEEDBACK CONTROL
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REINFORCEMENT LEARNING AND APPROXIMATE DYNAMIC PROGRAMMING FOR FEEDBACK CONTROL (HB)
STABILITY AND CONTROL OF DYNAMICAL SYSTEMS WITH APPLICATIONS (HB)
STABILITY AND CONTROL OF DYNAMICAL SYSTEMS WITH APPLICATIONS (PB)
STABILITY OF DYNAMICAL SYSTEMS (HB)
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