Ontologically Controlled Autonomous Systems: Principles, Operations, and Architecture: Principles, Operations, and Architecture / Edition 1

by George A. Fodor

Overview

Kevin M. Passino When confronted with a control problem for complicated physical process, a control engineer usually follows a predetermined design procedure. This procedure often begins with the engineer seeking to understand the process and the primary control objectives. A simple example ofa control problem is an automobile "cruise control" that provides the automobile with the capability of regulating its own speed at a driver-specified set-point (e. g. , 55 mph). One solution to the automotive cruise control problem involves adding an electronic controller that can sense the speed of the vehicle via the speedometer and actuate the throttle position so as to regulate the vehicle speed at the driver-specified value. Such speed regulation must be accurate even if there are road grade changes, head-winds, or variations in the number of passengers in the automobile. After gaining an intuitive understanding of the plant's dynamics and establishing the design objectives, the control engineer typically solves the cruise control problem by using an established design procedure. In particular, this control engineering design methodology involves: 1. Modeling/understanding the plant, 2. Construction of a controller to meet specifications (such as stability, rise-time, overshoot, and steady state error), 3. Analysis to make sure that the system will meet the performance objectives (e. g. , we might use mathematical, simulation-based, or experimental analysis), and 4. Iterating on the design until it is possible to "commission" the control system.

Product Details

ISBN-13:	9780792380351
Publisher:	Springer US
Publication date:	10/31/1997
Edition description:	1998
Pages:	245
Product dimensions:	6.10(w) x 9.25(h) x 0.36(d)

Table of Contents

1.1 Scope.- 1.2 Autonomous Complex Control Systems.- 1.3 Ontological Control.- 1.4 Application Areas For Ontological Control.- References.- Control Concepts And Operations With Pc’s.- 2.1 Programmable Controllers.- 2.2 Modern Programmable Controllers.- 2.3 Causes For A Problematic Control Situation.- References.- Formal Description.- 3.1 Basic Notions And Definitions.- 3.2 Controller States And State Transitions.- 3.3 Control Knowledge Types.- 3.4 Control With An Object PC.- 3.5 The GSO In A Problematic Control Situation.- 3.6 De-synchronizations And The GSO.- 3.7 Summary.- References.- A Well-Determined State Set.- 4.1 Control Configurations.- 4.2 Actions.- 4.3 Well-Defined Controller State With A Configuration.- 4.5 De-Synchronization.- 4.6 A Well-Determined State Set.- 4.7 Goal Paths In A Well-Determined State Set.- 4.8 The Control set and The Collateral Set Of A State.- 4.9 Summary.- References.- Violations of Ontological Assumptions.- 5.1 Ontological Assumptions.- 5.2 The GSOwds.- 5.3 Distinguishing Between De-synchronization causes.- 5.4 Post Synchronization Behavior.- 5.5 Example.- Detecting Voa on a Non Well-Determined State Set.- 6.1 Introduction.- 6.2 Why State Sets Are Not Well Determined?.- 6.3 Effective Control Paths.- 6.4 The State Set Of The GSO-controller.- 6.5 A Well Determined GSO-State Set.- 6.6 De-synchronizations With The GSO-Controller.- 6.7 Conclusions.- The Ontological Controller.- 7.1 Motivations For The Ontological Control Architecture.- 7.2 The State Set Of The Ontological Controller.- 7.3 The Architecture Of The Ontological Controller.- 7.4 Conclusions.- 7.5 Future Research.- References.

Editorial Reviews

Presents the main principles, operations, and architecture involved in designing a novel type of supervisory controller. The ontological controller can be used to supervise any type of controller, but was developed primarily to oversee industrial- strength complex autonomous control systems using advanced programmable controllers. It can detect dynamically when the programmable controller is in a problematic control situation due to a violation of ontological assumptions and thus unable to achieve a pre-specified control goal, and can often lead the perplexed controller into a state from which it can regain its control and eventually achieve the goal in spite of the previous violation of assumptions. No indication is offered for how soon the approach might be applied to politicians and police officers. Annotation c. by Book News, Inc., Portland, Or.

Booknews