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Title:Modern Control Theory (Electrical & Electronic Engineering)
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ISBN:0070650764
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Modern Control Theory (Electrical & Electronic Engineering) by Julius T. Tou

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Digital and Sampled-data Control Systems, Modern Control Theory (Electrical & Electronic Engineering), Pattern Recognition Principles, Advances in Information Systems Science: Volume 8, Applied Automata Theory, Computer-Based Automation, Highly Redundant Sensing in Robotic Systems, Advances in Information Systems Science, Software Engineering: Proceedings
Information systems science embraces a broad spectrum of topics It is vir tually impossible to provide comprehensive and in depth discussion other than simple recitals of recent results of every important topic in each volume of this annual review series Since we have chosen the former approach each volume will only cover certain aspects of recent advances in this bur geoning field The emphasis in this volume the third of a continuing series is focussed upon pattern recognition pictorial information manipulation and new approaches to logical design of information networks In Chapter V A Kovalevsky presents a tutorial survey of practical and theoretical developments in pattern recognition He categorizes the basic developments in three different directions The first direction is charac terized by an empirical treatment with highly specialized recognition schemes In the second direction the major efforts are centered upon the cre ation of learning systems capable of improving recognition performance on the basis of past experience The majority of the work in the third direction is devoted to the study of the basic structure of complex patterns the con struction of mathematical models for pattern recognition and the analysis of complex pictorial representations The author elucidates the heuristics approach and the science approach to pattern recognition problems This chapter together with Chapter of this volume supplements the chapter on Engineering Principles of Pattern Recognition in Volume to provide a more complete treatment of this subject, No description available, No description available, Design of intelligent robots is one of the most important endeavors in robotics research today The key to intelligent robot design lies in sensory systems for robotic control and manipulation In an unstructural environment robotic sensing translates measurements and characteristics of the environment and working objects into useful information A robotic system is usually equipped with a variety of sensors to perform redundant sensing and achieve data fusion This book contains revised versions of papers presented at a NATO Advanced Research Workshop held in Florida in September within the activities of the NATO Special Programme on Sensory Systems for Robotic Control The fundamental issues addressed in this volume were Theory and techniques including knowledge based systems geometrical fusion Boolean fusion probabilistic fusion feature based fusion error estimation approach and Markov process modeling General concepts including microscopic redundancy at the sensory element level macroscopic redundancy at the sensory system level parallel redundancy and standby redundancy Implementation and application including robotic control sensory technology robotic assembly robot fingers sensory signal processing sensory system integration and PAPIA architecture Biological analogies including neural nets pattern recognition low level fusion and motor learning