Robotics Automation

An introduction to automatic computers by Ned Chapin

By Ned Chapin

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445 Part I Introduction and Fundamentals of Optimized Adaptive Controllers and Systems Summary of Part I This Part is focused on the level of conceptual and intuitive knowledge of the technical areas covered by this book. It comprises two chapters. Chapter 1 starts by considering the requirements that need to be addressed by an advanced control system in the industrial domain, and introduces, intuitively, the basic concepts of: discrete time modeling, predictive control and driver block, adaptive system, adaptive model and adaptive mechanism, adaptive predictive (AP) control, optimized adaptive control, and adaptive predictive expert control (ADEX).

2) describes the relation between the flow rate of cool air and the temperature of the room, which are, in this case, the input and output variables respectively of the climate control process. Therefore, this equation is a model that describes the behaviour of the process at consecutive time instants. Obviously, this simple example allows generalizations such as those described in the following. In all these generalizations, choice of the variables of the model as increments with respect to steady state values is advisable.

349 349 351 352 353 354 354 355 357 359 363 364 .... 367 .... .... 367 369 370 Part VII 15 . . . Conclusion Closure: The Strength of the Concepts . . . . . . . . 1 Evolution of Concepts, Industrial Control Methodologies and Systems . . . . . . . . . . . . . . . . 2 The Impact of the New Concepts . . . . . . . . . References. . . . . . . . . . . . . . . . . . . Contents xxxi Appendix A: Some Basic Concepts of System Analysis .

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