02727nam 2200733Ia 450 991096278130332120251116191001.09786610501618978128050161612805016189780748626960074862696497807486269609780748620968(CKB)1000000000351180(EBL)264974(OCoLC)475989345(SSID)ssj0000162539(PQKBManifestationID)11153549(PQKBTitleCode)TC0000162539(PQKBWorkID)10208692(PQKB)11117930(Au-PeEL)EBL1962260(CaPaEBR)ebr10130472(CaONFJC)MIL50161(Au-PeEL)EBL264974(DE-B1597)616587(DE-B1597)9780748626960(MiAaPQ)EBC1962260(Perlego)1708824(MiAaPQ)EBC264974(EXLCZ)99100000000035118020060721d2006 uy 0engurcn|||||||||txtccrGet set for psychology /Peter Wright and Hamish Macleod1st ed.Edinburgh Edinburgh University Press20061 online resource (169 p.)Get set for universityDescription based upon print version of record.9780748620968 0748620966 Includes bibliographical references and index.COVER; CONTENTS; 1 HOW TO USE THIS BOOK; 2 STATISTICAL THINKING; 3 PRACTICAL CLASSES; 4 BIOLOGICAL BASES OF BEHAVIOUR; 5 PERCEPTION; 6 COGNITIVE PSYCHOLOGY; 7 DEVELOPMENTAL PSYCHOLOGY; 8 SOCIAL PSYCHOLOGY; 9 INDIVIDUAL DIFFERENCES; 10 GETTING THE MOST OUT OF LECTURES; 11 LEARNING IN SMALL GROUPS; 12 WRITING TO BE READ; 13 ONLINE LEARNING; 14 PREPARING FOR AND SITTING EXAMINATIONS; INDEX;Provides an introduction to the study of psychology at university level. This book aims to encourage and enable the reader to link a natural interest in human (and animal) behaviour with the sorts of models and theories that are used by academic psychologists.Get set for university.PsychologyStudy and teaching (Higher)PsychologyPsychologyStudy and teaching (Higher)Psychology.150.711Wright PeterM.A., D.Phil.1083884Macleod Hamish1786409MiAaPQMiAaPQMiAaPQBOOK9910962781303321Get set for psychology4318022UNINA04957nam 22006375 450 991029975670332120251117074939.03-319-05639-510.1007/978-3-319-05639-5(CKB)3710000000125818(EBL)1782858(SSID)ssj0001274384(PQKBManifestationID)11749463(PQKBTitleCode)TC0001274384(PQKBWorkID)11324351(PQKB)11776636(DE-He213)978-3-319-05639-5(MiAaPQ)EBC1782858(PPN)17976571X(EXLCZ)99371000000012581820140607d2014 u| 0engur|n|---|||||txtccrAdvanced Takagi‒Sugeno Fuzzy Systems Delay and Saturation /by Abdellah Benzaouia, Ahmed El Hajjaji1st ed. 2014.Cham :Springer International Publishing :Imprint: Springer,2014.1 online resource (317 p.)Studies in Systems, Decision and Control,2198-4182 ;8Description based upon print version of record.1-322-13459-6 3-319-05638-7 Introduction to Takagi‒Sugeno Fuzzy Systems -- Stabilization of Takagi‒Sugeno Fuzzy Systems with Constrained Controls -- Static Output Feedback Control for Fuzzy Systems -- Stabilization of Discrete-time Takagi‒Sugeno Fuzzy Positive Systems -- Stabilization of Delayed T-S Fuzzy Positive Systems -- Robust Control of T-S Fuzzy Systems with Time-varying Delay -- Robust Output H¥ Fuzzy Control.-Stabilization of Discrete-time T-S Fuzzy Positive Systems with Multiple Delays -- Stabilization of Two Dimensional T-S Fuzzy Systems.This monograph puts the reader in touch with a decade’s worth of new developments in the field of fuzzy control specifically those of the popular Takagi-Sugeno (T-S) type. New techniques for stabilizing control analysis and design based on multiple Lyapunov functions and linear matrix inequalities (LMIs), are proposed. All the results are illustrated with numerical examples and figures and a rich bibliography is provided for further investigation. Control saturations are taken into account within the fuzzy model. The concept of positive invariance is used to obtain sufficient asymptotic stability conditions for the fuzzy system with constrained control inside a subset of the state space. The authors also consider the non-negativity of the states. This is of practical importance in many chemical, physical and biological processes that involve quantities that have intrinsically constant and non-negative sign: concentration of substances, level of liquids, etc. Results for linear systems are then extended to linear systems with delay. It is shown that LMI techniques can usually handle the new constraint of non-negativity of the states when care is taken to use an adequate Lyapunov function. From these foundations, the following further problems are also treated: ·        asymptotic stabilization of uncertain T-S fuzzy systems with time-varying delay, focusing on delay-dependent stabilization synthesis based on parallel distributed controller (PDC); ·        asymptotic stabilization of uncertain T-S fuzzy systems with multiple delays, focusing on delay-dependent stabilization synthesis based on PDC with results obtained under linear programming; ·        design of delay-independent, observer-based, H-infinity control for T–S fuzzy systems with time varying delay; and ·        asymptotic stabilization of 2-D T–S fuzzy systems. Advanced Takagi–Sugeno Fuzzy Systems provides researchers and graduate students interested in fuzzy control systems with further approaches based LMI and LP.Studies in Systems, Decision and Control,2198-4182 ;8Automatic controlArtificial intelligenceComputational intelligenceControl and Systems Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/T19010Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Automatic control.Artificial intelligence.Computational intelligence.Control and Systems Theory.Artificial Intelligence.Computational Intelligence.006.33Benzaouia Abdellahauthttp://id.loc.gov/vocabulary/relators/aut447673El Hajjaji Ahmedauthttp://id.loc.gov/vocabulary/relators/autBOOK9910299756703321Advanced Takagi‒Sugeno Fuzzy Systems1933391UNINA