MARC Record from harvard_bibliographic_metadata

LEADER: 03479nam a22004695a 4500
001 013715452-6
005 20130712193609.0
008 130509s2013 gw | s ||0| 0|eng d
020 $a9783642343247
020 $a9783642343247
020 $a9783642343230
024 7 $a10.1007/978-3-642-34324-7$2doi
035 $a(Springer)9783642343247
040 $aSpringer
050 4 $aTA170-171
050 4 $aTD195.B58
072 7 $aTQ$2bicssc
072 7 $aTCB$2bicssc
072 7 $aTEC010000$2bisacsh
072 7 $aSCI010000$2bisacsh
082 04 $a660.6$223
082 04 $a628$223
100 1 $ad'Andréa-Novel, Brigitte.
245 10 $aControl Theory for Engineers :$bA Primer /$cby Brigitte d'Andréa-Novel, Michel De Lara.
260 $aBerlin, Heidelberg :$bSpringer Berlin Heidelberg :$bImprint: Springer,$c2013.
300 $aXV, 257 p. 40 illus.$bdigital.
505 0 $aPart I Modelling, Dynamical Systems and Input-Output Representation -- Basics in dynamical system modelling -- Finite dimensional state-space models -- Input-output representation -- Part II Stabilization by State-Space Approach -- Stability of an equilibrium point -- Continuous-time linear dynamical systems -- Discrete-time linear dynamical systems -- Quadratic optimization and linear filtering -- Part III Disturbance Rejection and Polynomial Approach -- Polynomial representation -- Part IV Appendices -- The discrete-time stationary Riccati equation -- Laplace transform and z-transform -- Gaussian vectors -- Bode diagrams.
520 $aControl Theory is at the heart of information and communication technologies of complex systems. It can contribute to meeting the energy and environmental challenges we are facing. The textbook is organized in the way an engineer classically proceeds to solve a control problem, that is, elaboration of a mathematical model capturing the process behavior, analysis of this model and design of a control to achieve the desired objectives. It is divided into three Parts. The first part of the text addresses modeling aspects through state space and input-output representations. The notion of the internal state of a system (for example mechanical, thermal or electrical), as well as its description using a finite number of variables, is also emphasized. The second part is devoted to the stability analysis of an equilibrium point. The authors present classical tools for stability analysis, such as linearization techniques and Lyapunov functions. Central to Control Theory are the notions of feedback and of closed-loop, and the third part of the textbook describes the linear control synthesis in a continuous and discrete-time framework and also in a probabilistic context. Quadratic optimization and Kalman filtering are presented, as well as the polynomial representation, a convenient approach to reject perturbations on the system without making the control law more complex. Throughout the text, different examples are developed, both in the chapters and in the exercises.
650 10 $aEcology.
650 10 $aEuthenics.
650 10 $aNature and nurture.
650 10 $aAdaptation (Biology)
650 0 $aEnvironmental sciences.
650 0 $aComputer simulation.
650 0 $aBiotechnology.
650 24 $aEnvironmental Engineering/Biotechnology.
650 24 $aControl.
650 24 $aSimulation and Modeling.
700 1 $aDe Lara, Michel.
776 08 $iPrinted edition:$z9783642343230
988 $a20130626
906 $0VEN