The principle of self-support in control systems
著者
書誌事項
The principle of self-support in control systems
（Studies in automation and control, v. 8）
Elsevier, 1992
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注記
Includes bibliographical references (p. 237-246) and index
内容説明・目次
内容説明
This book introduces a new and radically different conceptual framework for the consideration of control problems and cybernetics in general. It is intended not only to provide answers but to pose new questions as well. A comprehensive methodology is introduced in the book for the solution of control problems in a way that is both mathematically clear and simple to implement. The basic idea used in obtaining these features is a kind of autonomy which has been given to the control's "self", formulated in the Principle of self-support(PSS). In many cases variable "control" can no longer be considered as a "master" of a control system. The book demonstrates how it is now possible to create the simplest control algorithm that represents a universal law, namely the fundamental formula. A number of practical algorithms, based on that formula are presented. Thus opening up to the reader a large field of possible variations and creative innovations. PSS is intended as a key link in obtaining simple ways of achieving a more unified view of diversified areas of modern science. Guiding researchers to rely upon the self-supporting nature of each variable and system.
目次
1. The Notion of "Self". Introduction. The principle of self-support (PSS). Varieties of "Self": biology, mathematics, technique, other examples. 2. Some Basic Considerations. Modelling. Causality. Error-Feedback. Motion. 3. A General Way to Solve Control Problems. A stability condition. One theorem and its proof. Preliminaries. The theorem. The proof. Self-sufficiency. The fundamental formula. The fundamental theorem. The proof. The design strategy. 4. Algorithms Synthesized via the PSS. Continuous-time case. Algorithms. Discrete-time case. 5. Implementation Details. Extensions and variants. Limitations, obstacles and how to cope with them. Conclusions and directions for the future. 6. The PSS Versus other Control Methods. What is different? And what is similar? 7. Implementation Examples. Computer simulations: A linear plant. Computer simulations: A nonlinear plant. Experimental results. Conclusions. The sources of the quotations. References. Index.
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