Reliable Plan Selection by Intelligent Machines (World Scientific Series in Intelligent Control and Intelligent Automation)

(This text derives techniques which allow reliable plans t...)

This text derives techniques which allow reliable plans to be automatically selected by intelligent machines. It concentrates on the uncertainty analysis of candidate plans so that a highly reliable candidate may be identified and used. For robotic components, such as a particular vision algorithm for pose estimation or a joint controller, methods are explained for directly calculating the reliability. However, these methods became excessively complex when several components are used together to complete a plan. Consequently, entropy minimization techniques are used to estimate which complex tasks will perform reliably. The book first develops tools for directly calculating the reliability of sub-systems, and methods of using entropy minimization to greatly facilitate the analysis are explained. Since these sub-systems are used together to accomplish complex tasks, the book then explains how complex tasks can be efficiently evaluated.

http://www.amazon.com/gp/product/9810223366/?tag=2022091-20

Self-organizing control of stochastic systems (Control and systems theory ; v. 4)

http://www.amazon.com/gp/product/0824764137/?tag=2022091-20

Intelligent Robotic Systems: Theory, Design and Applications (The Springer International Series in Engineering and Computer Science)

(Since the late 1960s, there has been a revolution in robo...)

Since the late 1960s, there has been a revolution in robots and industrial automation, from the design of robots with no computing or sensorycapabilities (first-generation), to the design of robots with limited computational power and feedback capabilities (second-generation), and the design of intelligent robots (third-generation), which possess diverse sensing and decision making capabilities. The development of the theory of intelligent machines has been developed in parallel to the advances in robot design. This theory is the natural outcome of research and development in classical control (1950s), adaptive and learning control (1960s), self-organizing control (1970s) and intelligent control systems (1980s). The theory of intelligent machines involves utilization and integration of concepts and ideas from the diverse disciplines of science, engineering and mathematics, and fields like artificial intelligence, system theory and operations research. The main focus and motivation is to bridge the gap between diverse disciplines involved and bring under a common cover several generic methodologies pertaining to what has been defined as machine intelligence. Intelligent robotic systems are a specific application of intelligent machines. They are complex computer controlled robotic systems equipped with a diverse set of visual and non visual sensors and possess decision making and problem solving capabilities within their domain of operation. Their modeling and control is accomplished via analytical and heuristic methodologies and techniques pertaining to generalized system theory and artificial intelligence. Intelligent Robotic Systems: Theory, Design and Applications, presents and justifies the fundamental concepts and ideas associated with the modeling and analysis of intelligent robotic systems. Appropriate for researchers and engineers in the general area of robotics and automation, Intelligent Robotic Systems is both a solid reference as well as a text for a graduate level course in intelligent robotics/machines.

http://www.amazon.com/gp/product/1461365856/?tag=2022091-20

Entropy in Control Engineering (Series in Intelligent Control and Intelligent Automation) (v. 12) by Saridis, George N. (2001) Hardcover

http://www.amazon.com/gp/product/B011MEAJ5S/?tag=2022091-20

Design of Intelligent Control Systems Based on Hierarchical Stochastic Automata (Series in Intelligent Control and Intelligent Automation)

(In recent years works done by most researchers towards bu...)

In recent years works done by most researchers towards building autonomous intelligent controllers frequently mention the need for a methodology of design and a measure of how successful the final result is. This monograph introduces a design methodology for intelligent controllers based on the analytic theory of intelligent machines introduced by Saridis in the 1970s. The methodology relies on the existing knowledge about designing the different subsystems composing an intelligent machine. Its goal is to provide a measure of the performance applicable to any of the subsystems, and use that measure to learn on-line the best among the set of pre-designed alternatives, given the state of the environment where the machine operates. Different designs can be compared using this novel approach.

http://www.amazon.com/gp/product/9810222556/?tag=2022091-20

Entropy in Control Engineering (Series in Intelligent Control and Intelligent Automation) (v. 12)

(This book attempts to couple control engineering with mod...)

This book attempts to couple control engineering with modern developments in science, through the concept of entropy. Such disciplines as intelligent machines, economics, manufacturing, environmental systems, waste etc. can be favourably affected and their performances can be improved or their catastrophic effects minimized. Entropy is used as the unifying measure of the various, seemingly disjoint, disciplines to represent the cost of producing work that improves the standard of living, both in engineering and in science. Modelling is done through probabilistic methods, thus establishing the irreversibility of the processes involved. This is in accordance with the modern view of science. In addition, the behaviour of control for an arbitrary but fixed controller away from the optimal (equilibrium) has been obtained, the analytic expression of which should lead to chaotic solutions. The control activity is explained, based on the principle that "control is making a system do what we want it to do". This helps to relate control theory with the sciences.

http://www.amazon.com/gp/product/9810245513/?tag=2022091-20

Intelligent Robotic Systems: Theory, Design and Applications (The Springer International Series in Engineering and Computer Science)

(Since the late 1960s, there has been a revolution in robo...)

Since the late 1960s, there has been a revolution in robots and industrial automation, from the design of robots with no computing or sensorycapabilities (first-generation), to the design of robots with limited computational power and feedback capabilities (second-generation), and the design of intelligent robots (third-generation), which possess diverse sensing and decision making capabilities. The development of the theory of intelligent machines has been developed in parallel to the advances in robot design. This theory is the natural outcome of research and development in classical control (1950s), adaptive and learning control (1960s), self-organizing control (1970s) and intelligent control systems (1980s). The theory of intelligent machines involves utilization and integration of concepts and ideas from the diverse disciplines of science, engineering and mathematics, and fields like artificial intelligence, system theory and operations research. The main focus and motivation is to bridge the gap between diverse disciplines involved and bring under a common cover several generic methodologies pertaining to what has been defined as machine intelligence. Intelligent robotic systems are a specific application of intelligent machines. They are complex computer controlled robotic systems equipped with a diverse set of visual and non visual sensors and possess decision making and problem solving capabilities within their domain of operation. Their modeling and control is accomplished via analytical and heuristic methodologies and techniques pertaining to generalized system theory and artificial intelligence. Intelligent Robotic Systems: Theory, Design and Applications, presents and justifies the fundamental concepts and ideas associated with the modeling and analysis of intelligent robotic systems. Appropriate for researchers and engineers in the general area of robotics and automation, Intelligent Robotic Systems is both a solid reference as well as a text for a graduate level course in intelligent robotics/machines.

http://www.amazon.com/gp/product/0792392507/?tag=2022091-20

Stochastic Processes, Estimation, and Control: The Entropy Approach

(Stochastic processes are those probabilistic tools used t...)

Stochastic processes are those probabilistic tools used to approximate uncertainty. With the advent of the computer, uncertainty which is inherent in large complex systems can be approximated. Advances in space science, communications systems and many of the defence initiatives, not to mention robotics and artificial intelligence, have come about because of the ability of the computer to solve massive probabilistic calculations to account for uncertainty in the system being adjusted. This text applies the most recent advances in stochastic and probabilistic processes to areas such as communications and robotic technology. The author also uses the thermodynamic principle of entropy to measure and analyze uncertainty in various systems.

http://www.amazon.com/gp/product/047109756X/?tag=2022091-20