By S. G. Tzafestas (auth.), Spyros G. Tzafestas (eds.)
This publication is worried with clever keep an eye on tools and functions. the sphere of clever keep an eye on has been multiplied greatly throughout the contemporary years and an outstanding physique of theoretical and sensible effects at the moment are on hand. those effects were bought in the course of the synergetic fusion of options and strategies from various fields akin to computerized regulate, platforms technological know-how, desktop technology, neurophysiology and operational examine. clever regulate structures need to practice anthropomorphic initiatives absolutely autonomously or interactively with the human less than recognized or unknown and unsure environmental stipulations. accordingly the elemental elements of any clever regulate process comprise cognition, conception, studying, sensing, making plans, numeric and symbolic processing, fault detection/repair, response, and keep watch over motion. those parts has to be associated in a scientific, synergetic and effective approach. Predecessors of clever keep watch over are adaptive regulate, self-organizing regulate, and studying keep an eye on that are good documented within the literature. average program examples of clever controls are clever robot structures, clever production structures, clever scientific platforms, and clever house teleoperators. clever controllers needs to hire either quantitative and qualitative details and has to be capable of do something about serious temporal and spatial diversifications, as well as the basic activity of accomplishing the specified temporary and steady-state functionality. in fact the extent of intelligence required in each one specific program is an issue of dialogue among the designers and clients. the present literature on clever keep an eye on is expanding, however the details remains to be on hand in a sparse and disorganized way.
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The chapters starts with some background material on fuzzy logic and Petri nets, and after that indroduces the concept of continuous fuzzy Petri net (CFPN) and its properties. Then it goes to the application studies which include a simple illustrative fuzzy control example, and a wastewater treatment plant within an oil refinery unit. The CFPN is a new concept which 15 combines the flexibility of fuzzy logic with the graphical ability of Petri nets, and provides an excellent tool for intelligent monitoring, fault diagnosis, supervision, and control.
It starts with a survey of neural networks 14 (properties, architectures and models, learning algorithms) and then provides an overview of the robotic problems, namely trajectory planning, kinematics, dynamics, and control. The core of the chapter provides a comprehensive survey of the research been done on the use of neural networks for treating the above robotic problems, including critical and comparative discussions. Key areas for future research are discussed. PART 2 presents a variety of intelligent control methods, many of which are published here for the first time.
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