LEADER 05366nam 22006855 450 001 9910483841203321 005 20200701033024.0 010 $a1-4471-7457-7 024 7 $a10.1007/978-1-4471-7457-8 035 $a(CKB)4100000011254646 035 $a(MiAaPQ)EBC6202747 035 $a(DE-He213)978-1-4471-7457-8 035 $a(PPN)248392786 035 $a(EXLCZ)994100000011254646 100 $a20200519d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNonlinear Industrial Control Systems $eOptimal Polynomial Systems and State-Space Approach /$fby Michael J. Grimble, Pawe? Majecki 205 $a1st ed. 2020. 210 1$aLondon :$cSpringer London :$cImprint: Springer,$d2020. 215 $a1 online resource (778 pages) 311 $a1-4471-7455-0 320 $aIncludes bibliographical references and index. 327 $aPart I: Background -- Introduction to Nonlinear Systems -- Nonlinear Systems Modelling and Identification -- Part II: Polynomial Systems -- Introduction to Nonlinear Generalized Minimum Variance Control -- Nonlinear Generalized Minimum Variance Control Design Issues -- Introduction to Factorised NGMV Nonlinear Controls -- H-infinity Robust Control for Nonlinear Systems -- Design Procedures in the Presence of Saturation and Other Nonlinearities -- Part III: State-space Systems -- Space Approach to NGMV Control -- Design Issues and NGMV Predictive Control -- Basic and Factorised NGMV Control of Continuous-time Systems -- Part IV: Nonlinear System Benchmarking Nonlinear Controls -- Dual Nonlinear Estimation Problems -- Neural Networks, Fuzzy Control and Learning -- Part V: Industrial Applications -- Nonlinear Industrial Process Control Applications -- Nonlinear Automotive, Aerospace and Marine Applications. 330 $aNonlinear Industrial Control Systems presents a range of mostly optimisation-based methods for severely nonlinear systems; it discusses feedforward and feedback control and tracking control systems design. The plant models and design algorithms are provided in a MATLABŪ toolbox (downloadable from www.springer.com/978-1-4471-7455-4) that enable both academic examples and industrial application studies to be repeated and evaluated, taking into account practical application and implementation problems. The text makes nonlinear control theory accessible to readers having only a background in linear systems, and concentrates on real applications of nonlinear control. It covers: different ways of modelling nonlinear systems including state space, polynomial-based, linear parameter varying, state-dependent and hybrid; design techniques for nonlinear optimal control including generalised-minimum-variance, model predictive control, quadratic-Gaussian, factorised and H? design methods; design philosophies that are suitable for aerospace, automotive, marine, process-control, energy systems, robotics, servo systems and manufacturing; steps in design procedures that are illustrated in design studies to define cost-functions and cope with problems such as disturbance rejection, uncertainties and integral wind-up; and baseline non-optimal control techniques such as nonlinear Smith predictors, feedback linearization, sliding mode control and nonlinear PID. Nonlinear Industrial Control Systems is valuable to engineers in industry dealing with actual nonlinear systems. It provides students with a comprehensive range of techniques and examples for solving real nonlinear control design problems. 606 $aAutomatic control 606 $aIndustrial engineering 606 $aProduction engineering 606 $aAutomotive engineering 606 $aChemical engineering 606 $aCalculus of variations 606 $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010 606 $aIndustrial and Production Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T22008 606 $aAutomotive Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T17047 606 $aIndustrial Chemistry/Chemical Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/C27000 606 $aCalculus of Variations and Optimal Control; Optimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26016 615 0$aAutomatic control. 615 0$aIndustrial engineering. 615 0$aProduction engineering. 615 0$aAutomotive engineering. 615 0$aChemical engineering. 615 0$aCalculus of variations. 615 14$aControl and Systems Theory. 615 24$aIndustrial and Production Engineering. 615 24$aAutomotive Engineering. 615 24$aIndustrial Chemistry/Chemical Engineering. 615 24$aCalculus of Variations and Optimal Control; Optimization. 676 $a629.8312 700 $aGrimble$b Michael J$4aut$4http://id.loc.gov/vocabulary/relators/aut$0491140 702 $aMajecki$b Pawe?$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483841203321 996 $aNonlinear Industrial Control Systems$92186273 997 $aUNINA