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001484075 001__ 1484075
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001484075 019__ $$a1409030886$$a1409032761
001484075 020__ $$a9783031379703$$q(electronic bk.)
001484075 020__ $$a3031379705$$q(electronic bk.)
001484075 020__ $$z9783031379697
001484075 020__ $$z3031379691
001484075 0247_ $$a10.1007/978-3-031-37970-3$$2doi
001484075 035__ $$aSP(OCoLC)1409431124
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001484075 049__ $$aISEA
001484075 050_4 $$aQA402.35
001484075 08204 $$a629.8/36$$223/eng/20231115
001484075 24500 $$aState estimation and stabilization of nonlinear systems :$$btheory and applications /$$cAbdellatif Ben Makhlouf, Mohamed Ali Hammami, Omar Naifar, editors.
001484075 264_1 $$aCham :$$bSpringer,$$c[2023]
001484075 264_4 $$c©2023
001484075 300__ $$a1 online resource (vii, 445 pages) :$$billustrations (chiefly color).
001484075 336__ $$atext$$btxt$$2rdacontent
001484075 337__ $$acomputer$$bc$$2rdamedia
001484075 338__ $$aonline resource$$bcr$$2rdacarrier
001484075 4901_ $$aStudies in systems, decision and control,$$x2198-4190 ;$$vvolume 491
001484075 5050_ $$a1.Practical h−Stability of Nonlinear Impulsive Systems: A Survey -- 2.Practical exponential stabilization for semi-linear systems in Hilbert spaces -- 3.An observer controller for delay impulsive switched systems -- 4.Stabilization of TS fuzzy systems via a practical observer -- 5.Observer-Based Robust Tracking Controller Design of Nonlinear Dynamic Systems Represented by Bilinear T-S Fuzzy Systems -- 6.H_infinity filter design for discrete-time switched interconnected systems with time delays -- 7.Stability and Observability Analysis of Uncertain Neutral Time-Delay Systems -- 8.Zonotopic State Estimation for Uncertain Discrete-Time Switched Linear Systems -- 9.Stability and stabilisation of nonlinear incommensurate fractional order difference systems -- 10.Nonlinear Fractional Discrete Neural Networks: Stability, Stabilization and Synchronization -- 11.LMI-based Designs for Feedback Stabilization of Linear/ Nonlinear Discrete-Time Systems in Reciprocal State Space: Synthesis and Experimental Validation -- 12.Overview on active fault-tolerant control -- 13.The nonlinear Progressive Accommodation: Design and methodology -- 14.Linear Methods For Stabilization and Synchronization h-Fractional Chaotic Maps -- 15.Artificial Neural Network design for non linear Takagi-Sugeno systems: Application to Tracking of trajectory, state and fault estimation of MIABOT robot -- 16.Sliding mode fault tolerant control against actuator failures for UAVs. -- 17.Frequency Stabilization in Microgrid using Super Twisting Sliding Mode -- 18.Determination of the dynamic parameters of the planar robot with 2 degrees of freedom by the method of least squares and instrumental variables -- 19.Design and Analysis of Nonsingular Terminal Super Twisting Sliding Mode Controller for Lower Limb Rehabilitation Exoskeleton Contacting with ground -- 20.Generalized Predictive Control Design of Benchmark Distillation Columns: A Case Study for Multi-Input Multi-Output System -- 21.Robust EV's speed Tracking using fractional order controller -- 22.Fractional order control of a grid connected WindPACT turbine -- 23.Comparative study between PI Controller and Fractional Order PI for speed control applied to the traction system of an Electric Vehicle (EV).
001484075 506__ $$aAccess limited to authorized users.
001484075 520__ $$aThis book presents the separation principle which is also known as the principle of separation of estimation and control and states that, under certain assumptions, the problem of designing an optimal feedback controller for a stochastic system can be solved by designing an optimal observer for the system's state, which feeds into an optimal deterministic controller for the system. Thus, the problem may be divided into two halves, which simplifies its design. In the context of deterministic linear systems, the first instance of this principle is that if a stable observer and stable state feedback are built for a linear time-invariant system (LTI system hereafter), then the combined observer and feedback are stable. The separation principle does not true for nonlinear systems in general. Another instance of the separation principle occurs in the context of linear stochastic systems, namely that an optimum state feedback controller intended to minimize a quadratic cost is optimal for the stochastic control problem with output measurements. The ideal solution consists of a Kalman filter and a linear-quadratic regulator when both process and observation noise are Gaussian. The term for this is linear-quadratic-Gaussian control. More generally, given acceptable conditions and when the noise is a martingale (with potential leaps), a separation principle, also known as the separation principle in stochastic control, applies when the noise is a martingale (with possible jumps).
001484075 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 15, 2023).
001484075 650_0 $$aNonlinear control theory.
001484075 650_6 $$aCommande non linéaire.
001484075 655_0 $$aElectronic books.
001484075 7001_ $$aBen Makhlouf, Abdellatif,$$eeditor.
001484075 7001_ $$aHammami, Mohamed Ali,$$eeditor.
001484075 7001_ $$aNaifar, Omar,$$eeditor.
001484075 77608 $$iPrint version: $$z3031379691$$z9783031379697$$w(OCoLC)1389556139
001484075 830_0 $$aStudies in systems, decision and control ;$$vv. 491.$$x2198-4190
001484075 852__ $$bebk
001484075 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-37970-3$$zOnline Access$$91397441.1
001484075 909CO $$ooai:library.usi.edu:1484075$$pGLOBAL_SET
001484075 980__ $$aBIB
001484075 980__ $$aEBOOK
001484075 982__ $$aEbook
001484075 983__ $$aOnline
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