Fuzzy Logic Identification Predictive by Espinosa Oviedo (34 results)

2005. 16 x 24 cm. XX, 264 S. XX, 264 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. (Advances in Industrial Control). Sprache: Englisch.

Condition: New. pp. 292.

Condition: New. pp. 292 Illus.

Condition: New. pp. 292.

Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.

Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.

Condition: New. In.

Condition: New.

Condition: New. SUPER FAST SHIPPING.

Condition: New. SUPER FAST SHIPPING.

Condition: New.

Condition: New.

Condition: New.

Paperback. Condition: new. Paperback. Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding "judgement rather than simple "yes/no, "on/off responses: circumstances where a linguistic description is often more relevant than a cut-and-dried numerical one. The ability of fuzzy systems to handle numeric and linguistic information within a single framework renders them efficacious for this purpose. Fuzzy Logic, Identification and Predictive Control first shows you how to construct static and dynamic fuzzy models using the numerical data from a variety of real industrial systems and simulations. The second part exploits such models to design control systems employing techniques like data mining. This monograph presents a combination of fuzzy control theory and industrial serviceability that will make a telling contribution to your research whether in the academic or industrial sphere and also serves as a fine roundup of the fuzzy control area for the graduate student. Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding "judgement rather than simple "yes/no, "on/off responses: circumstances where a linguistic description is often more relevant than a cut-and-dried numerical one. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: New. In.

Hardcover. Condition: new. Hardcover. Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding "judgement rather than simple "yes/no, "on/off responses: circumstances where a linguistic description is often more relevant than a cut-and-dried numerical one. The ability of fuzzy systems to handle numeric and linguistic information within a single framework renders them efficacious for this purpose. Fuzzy Logic, Identification and Predictive Control first shows you how to construct static and dynamic fuzzy models using the numerical data from a variety of real industrial systems and simulations. The second part exploits such models to design control systems employing techniques like data mining. This monograph presents a combination of fuzzy control theory and industrial serviceability that will make a telling contribution to your research whether in the academic or industrial sphere and also serves as a fine roundup of the fuzzy control area for the graduate student. Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding "judgement rather than simple "yes/no, "on/off responses: circumstances where a linguistic description is often more relevant than a cut-and-dried numerical one. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: As New. Unread book in perfect condition.

Buch. Condition: Neu. Neuware -Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding 'judgement¿ rather than simple 'yes/nö, 'on/off¿ responses: circumstances where a linguistic description is often more relevant than a cut-and-dried numerical one. The ability of fuzzy systems to handle numeric and linguistic information within a single framework renders them efficacious for this purpose.Fuzzy Logic, Identification and Predictive Control first shows you how to construct static and dynamic fuzzy models using the numerical data from a variety of real industrial systems and simulations. The second part exploits such models to design control systems employing techniques like data mining.This monograph presents a combination of fuzzy control theory and industrial serviceability that will make a telling contribution to your research whether in the academic or industrial sphere and also serves as a fine roundup of the fuzzy control area for the graduate student.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 292 pp. Englisch.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding 'judgement' rather than simple 'yes/no', 'on/off' responses: circumstances where a linguistic description is often more relevant than a cut-and-dried numerical one. The ability of fuzzy systems to handle numeric and linguistic information within a single framework renders them efficacious for this purpose. Fuzzy Logic, Identification and Predictive Control first shows you how to construct static and dynamic fuzzy models using the numerical data from a variety of real industrial systems and simulations. The second part exploits such models to design control systems employing techniques like data mining. This monographpresentsa combination of fuzzy control theory and industrial serviceability that will make a telling contribution to your research whether in the academic or industrial sphere and also serves as a fine roundup of the fuzzy control area for the graduate student.

Condition: New. 2010. Paperback. . . . . .

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding 'judgement' rather than simple 'yes/no', 'on/off' responses: circumstances where a linguistic description is often more relevant than a cut-and-dried numerical one. The ability of fuzzy systems to handle numeric and linguistic information within a single framework renders them efficacious for this purpose. Fuzzy Logic, Identification and Predictive Control first shows you how to construct static and dynamic fuzzy models using the numerical data from a variety of real industrial systems and simulations. The second part exploits such models to design control systems employing techniques like data mining. This monographpresentsa combination of fuzzy control theory and industrial serviceability that will make a telling contribution to your research whether in the academic or industrial sphere and also serves as a fine roundup of the fuzzy control area for the graduate student.

Condition: New. Series: Advances in Industrial Control. BIC Classification: THR. Dimension: 235 x 155. Weight in Grams: 1290. . 2004. Hardback. . . . .

Paperback. Condition: Like New. Like New. book.

Condition: New. 2010. Paperback. . . . . . Books ship from the US and Ireland.

Condition: New. Series: Advances in Industrial Control. BIC Classification: THR. Dimension: 235 x 155. Weight in Grams: 1290. . 2004. Hardback. . . . . Books ship from the US and Ireland.

Paperback. Condition: new. Paperback. Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding "judgement rather than simple "yes/no, "on/off responses: circumstances where a linguistic description is often more relevant than a cut-and-dried numerical one. The ability of fuzzy systems to handle numeric and linguistic information within a single framework renders them efficacious for this purpose. Fuzzy Logic, Identification and Predictive Control first shows you how to construct static and dynamic fuzzy models using the numerical data from a variety of real industrial systems and simulations. The second part exploits such models to design control systems employing techniques like data mining. This monograph presents a combination of fuzzy control theory and industrial serviceability that will make a telling contribution to your research whether in the academic or industrial sphere and also serves as a fine roundup of the fuzzy control area for the graduate student. Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding "judgement rather than simple "yes/no, "on/off responses: circumstances where a linguistic description is often more relevant than a cut-and-dried numerical one. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condition: new. Hardcover. Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding "judgement rather than simple "yes/no, "on/off responses: circumstances where a linguistic description is often more relevant than a cut-and-dried numerical one. The ability of fuzzy systems to handle numeric and linguistic information within a single framework renders them efficacious for this purpose. Fuzzy Logic, Identification and Predictive Control first shows you how to construct static and dynamic fuzzy models using the numerical data from a variety of real industrial systems and simulations. The second part exploits such models to design control systems employing techniques like data mining. This monograph presents a combination of fuzzy control theory and industrial serviceability that will make a telling contribution to your research whether in the academic or industrial sphere and also serves as a fine roundup of the fuzzy control area for the graduate student. Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding "judgement rather than simple "yes/no, "on/off responses: circumstances where a linguistic description is often more relevant than a cut-and-dried numerical one. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 432.

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding 'judgement' rather than simple 'yes/no', 'on/off' responses: circumstances where a linguistic description is often more relevant than a cut-and-dried numerical one. The ability of fuzzy systems to handle numeric and linguistic information within a single framework renders them efficacious for this purpose. Fuzzy Logic, Identification and Predictive Control first shows you how to construct static and dynamic fuzzy models using the numerical data from a variety of real industrial systems and simulations. The second part exploits such models to design control systems employing techniques like data mining. This monographpresentsa combination of fuzzy control theory and industrial serviceability that will make a telling contribution to your research whether in the academic or industrial sphere and also serves as a fine roundup of the fuzzy control area for the graduate student. 292 pp. Englisch.