9789810225568 - Intelligent Task Planning Using Fuzzy Petri Nets: 3 (Series In Intelligent Control And Intelligent Automation) de Cao, Tom Tiehua; Sanderson, Arthur C (11 resultados)

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Hardcover. Condición: new. Hardcover. This book describes an approach to intelligent task planning in a robotic system. Petri net and fuzzy logic are integrated and used to represent task sequence planning and error recovery. During the generation and execution of task plans, different kinds of uncertainties need to be handled to ensure the efficiency and reliability of the system. Following a systematic modelling procedure, a fuzzy Petri net is constructed based on geometric relations, fuzzy variables and reasoning structures. The resulting net can be used to analyze and control the system. Many examples are discussed to illustrate the theory and the applications of fuzzy Petri nets. This volume describes an approach to intelligent task planning in a robotic system. It discusses many examples to illustrate the theory and the applications of fuzzy Petri nets, and covers such areas as task sequence planning using fuzzy Petri nets, and sensor-based error recovery. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

hardcover. Condición: New. Special order direct from the distributor.

Condición: As New. Unread book in perfect condition.

Hardcover. Condición: Brand New. 192 pages. 9.00x6.50x0.75 inches. In Stock.

Condición: New.

Condición: New. This volume describes an approach to intelligent task planning in a robotic system. It discusses many examples to illustrate the theory and the applications of fuzzy Petri nets, and covers such areas as task sequence planning using fuzzy Petri nets, and sensor-based error recovery. Series: Series in Intelligent Control and Intelligent Automation. Num Pages: 208 pages. BIC Classification: TJFM1; UYQ. Category: (P) Professional & Vocational. . . 1996. hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Condición: new. Hardcover. This book describes an approach to intelligent task planning in a robotic system. Petri net and fuzzy logic are integrated and used to represent task sequence planning and error recovery. During the generation and execution of task plans, different kinds of uncertainties need to be handled to ensure the efficiency and reliability of the system. Following a systematic modelling procedure, a fuzzy Petri net is constructed based on geometric relations, fuzzy variables and reasoning structures. The resulting net can be used to analyze and control the system. Many examples are discussed to illustrate the theory and the applications of fuzzy Petri nets. This volume describes an approach to intelligent task planning in a robotic system. It discusses many examples to illustrate the theory and the applications of fuzzy Petri nets, and covers such areas as task sequence planning using fuzzy Petri nets, and sensor-based error recovery. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condición: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | This book describes an approach to intelligent task planning in a robotic system. Petri net and fuzzy logic are integrated and used to represent task sequence planning and error recovery. During the generation and execution of task plans, different kinds of uncertainties need to be handled to ensure the efficiency and reliability of the system. Following a systematic modeling procedure, a fuzzy Petri net is constructed based on geometric relations, fuzzy variables, and reasoning structures. The resulting net can be used to analyze and control the system. Many examples are discussed to illustrate the theory and the applications of fuzzy Petri nets.

Condición: New. This volume describes an approach to intelligent task planning in a robotic system. It discusses many examples to illustrate the theory and the applications of fuzzy Petri nets, and covers such areas as task sequence planning using fuzzy Petri nets, and sensor-based error recovery. Series: Series in Intelligent Control and Intelligent Automation. Num Pages: 208 pages. BIC Classification: TJFM1; UYQ. Category: (P) Professional & Vocational. . . 1996. hardcover. . . . .