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.
"synopsis" may belong to another edition of this title.
"Ontologically Controlled Autonomous Systems: Principles, Operations and Architecture" presents the main principles, operations and architecture involved in the design of a novel type of supervisory controller called an ontological controller. An ontological controller can be used to supervise any type of controller; however its intended applications are industrial-strength complex autonomous control systems using advanced programmable controllers.An ontological controller supervises a programmable controller in order to: 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 (i.e. the identification operation), and when possible, move the programmable controller into such a state from which it can regain its control and eventually achieve the pre-specified control goal in spite of the previous violation of ontological assumptions (i.e. the recovery operation)."Ontologically Controlled Autonomous Systems: Principles, Operations and Architecture" presents for the first time a complete formal framework and results for ontological control.
All results presented in the book originate from the practical industrial experience of the author. The intended readers for "Ontologically Controlled Autonomous Systems: Principles, Operations and Architecture" are professionals and students working in industrial control, discrete control, discrete-event systems, artificial intelligence, autonomous systems, programmable (logic) control design, robotics, real-time planning, safety-critical systems, Petri nets and PLC standards such as IEC1131."About this title" may belong to another edition of this title.
£ 13.02 shipping from U.S.A. to United Kingdom
Destination, rates & speeds£ 21.61 shipping from Germany to United Kingdom
Destination, rates & speedsSeller: Bookmonger.Ltd, HILLSIDE, NJ, U.S.A.
Hardcover. Condition: Fine. Mint condition. Seller Inventory # mon0000434435
Quantity: 1 available
Seller: CONTINENTAL MEDIA & BEYOND, Ocala, FL, U.S.A.
Hardcover. Condition: Used: Good. 1998 hardcover no dj as issued xlibrary copy withdrawn stamp on edge of pages/ in book clean text Kluwer Academic Publ. 245 pages::: J-15. Seller Inventory # 0817IEAKGC7
Quantity: 1 available
Seller: GuthrieBooks, Spring Branch, TX, U.S.A.
Hardcover. Condition: Very Good. Ex-Library hardcover in very nice condition with the usual markings and attachments. Sunning to cover at the top. Interior clean and unmarked. Tight binding. Seller Inventory # TSTC62379898
Quantity: 1 available
Seller: moluna, Greven, Germany
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 co. Seller Inventory # 5970622
Quantity: Over 20 available
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In. Seller Inventory # ria9780792380351_new
Quantity: Over 20 available
Seller: Books Puddle, New York, NY, U.S.A.
Condition: Used. pp. 264. Seller Inventory # 26321400
Quantity: 1 available
Seller: Majestic Books, Hounslow, United Kingdom
Condition: Used. pp. 264 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam. Seller Inventory # 7559335
Quantity: 1 available
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9780792380351
Quantity: 1 available
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: Used. pp. 264. Seller Inventory # 18321394
Quantity: 1 available
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 264 pp. Englisch. Seller Inventory # 9780792380351
Quantity: 1 available