LEADER 05103nam 2200697 a 450 001 9910143316503321 005 20210209153755.0 010 $a1-280-84770-0 010 $a9786610847709 010 $a0-470-61252-5 010 $a0-470-39466-8 010 $a1-84704-585-5 035 $a(CKB)1000000000335548 035 $a(EBL)700745 035 $a(OCoLC)769341531 035 $a(SSID)ssj0000102889 035 $a(PQKBManifestationID)11137827 035 $a(PQKBTitleCode)TC0000102889 035 $a(PQKBWorkID)10061415 035 $a(PQKB)10277585 035 $a(MiAaPQ)EBC700745 035 $a(MiAaPQ)EBC261997 035 $a(Au-PeEL)EBL261997 035 $a(OCoLC)437168085 035 $a(EXLCZ)991000000000335548 100 $a20061010d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aAnalysis and control of linear systems$b[electronic resource] /$fedited by Philippe de Larminat 210 $aLondon ;$aNewport Beach, CA $cISTE$d2007 215 $a1 online resource (561 p.) 225 1 $aControl systems, robotics and manufacturing series 300 $aDescription based upon print version of record. 311 $a1-905209-35-5 320 $aIncludes bibliographical references and index. 327 $aAnalysis and Control of Linear Systems; Table of Contents; Preface; Part 1. System Analysis; Chapter 1. Transfer Functions and Spectral Models; 1.1. System representation; 1.2. Signal models; 1.2.1. Unit-step function or Heaviside step function U(t); 1.2.2. Impulse; 1.2.3. Sine-wave signal; 1.3. Characteristics of continuous systems; 1.4. Modeling of linear time-invariant systems; 1.4.1. Temporal model, convolution, impulse response and unit-step response; 1.4.2. Causality; 1.4.3. Unit-step response; 1.4.4. Stability; 1.4.5. Transfer function; 1.4.6. Causality, stability and transfer function 327 $a1.4.7. Frequency response and harmonic analysis1.5. Main models; 1.5.1. Integrator; 1.5.2. First order system; 1.5.3. Second order system; 1.6. A few reminders on Fourier and Laplace transforms; 1.6.1. Fourier transform; 1.6.2. Laplace transform; 1.6.3. Properties; 1.6.4. Laplace transforms of ordinary causal signals; 1.6.5. Ordinary Fourier transforms; 1.7. Bibliography; Chapter 2. State Space Representation; 2.1. Reminders on the systems; 2.1.1. Internal representation of determinist systems: the concept of state; 2.1.2. Equations of state and equations of measurement for continuous systems 327 $a2.1.3. Case of linear systems2.1.4. Case of continuous and invariant linear systems; 2.2. Resolving the equation of state; 2.2.1. Free state; 2.2.2. Forced state; 2.2.3. Particular case of linear and invariant systems; 2.2.4. Calculation method of the transition matrix eA(t-t 0 ); 2.2.5. Application to the modeling of linear discrete systems; 2.3. Scalar representation of linear and invariant systems; 2.3.1. State passage - transfer; 2.3.2. Change of basis in the state space; 2.3.3. Transfer passage - state; 2.3.4. Scalar representation of invariant and linear discrete systems 327 $a2.4. Controllability of systems2.4.1. General definitions; 2.4.2. Controllability of linear and invariant systems; 2.4.3. Canonic representation of partially controllable systems; 2.4.4. Scalar representation of partially controllable systems; 2.5. Observability of systems; 2.5.1. General definitions; 2.5.2. Observability of linear and invariant systems; 2.5.3. Case of partially observable systems; 2.5.4. Case of partially controllable and partially observable systems; 2.6. Bibliography; Chapter 3. Discrete-Time Systems; 3.1. Introduction; 3.2. Discrete signals: analysis and manipulation 327 $a3.2.1. Representation of a discrete signal3.2.2. Delay and lead operators; 3.2.3. z-transform; 3.3. Discrete systems (DLTI); 3.3.1. External representation; 3.3.2. Internal representation; 3.3.3. Representation in terms of operator; 3.3.4. Transfer function and frequency response; 3.3.5. Time response of basic systems; 3.4. Discretization of continuous-time systems; 3.4.1. Discretization of analog signals; 3.4.2. Transfer function of the discretized system; 3.4.3. State representation of the discretized system; 3.4.4. Frequency responses of the continuous and discrete system 327 $a3.4.5. The problem of sub-sampling 330 $aAutomation of linear systems is a fundamental and essential theory. This book deals with the theory of continuous-state automated systems. 410 0$aControl systems, robotics and manufacturing series. 606 $aLinear control systems 606 $aAutomatic control 608 $aElectronic books. 615 0$aLinear control systems. 615 0$aAutomatic control. 676 $a629.8/32 676 $a629.832 701 $aLarminat$b Philippe de$0857946 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910143316503321 996 $aAnalysis and control of linear systems$92154807 997 $aUNINA LEADER 04217nam 22007575 450 001 9910299238403321 005 20250609110704.0 010 $a94-017-9561-4 024 7 $a10.1007/978-94-017-9561-6 035 $a(CKB)3710000000332489 035 $a(EBL)1966688 035 $a(OCoLC)900158053 035 $a(SSID)ssj0001424556 035 $a(PQKBManifestationID)11891913 035 $a(PQKBTitleCode)TC0001424556 035 $a(PQKBWorkID)11363954 035 $a(PQKB)11670724 035 $a(DE-He213)978-94-017-9561-6 035 $a(MiAaPQ)EBC1966688 035 $a(PPN)183517245 035 $a(MiAaPQ)EBC6242295 035 $a(EXLCZ)993710000000332489 100 $a20150111d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aPatterns of Intuition $eMusical Creativity in the Light of Algorithmic Composition /$fedited by Gerhard Nierhaus 205 $a1st ed. 2015. 210 1$aDordrecht :$cSpringer Netherlands :$cImprint: Springer,$d2015. 215 $a1 online resource (416 p.) 300 $aDescription based upon print version of record. 311 08$a94-017-9560-6 320 $aIncludes bibliographical references at the end of each chapters. 327 $aOutline of the compositional structure(s) to be investigated -- The algorithms/procedures used -- Findings -- Improvisation in Trees -- Electronic Music for an Acoustic Piano -- Forbidden Melodies -- The Semantics of a String Quartet -- Comments from renowned scientists from related research areas of Algorithmic Composition, Musicology, Artistic Research, Creativity. 330 $aThe present book is the result of a three year research project which investigated the creative act of composing by means of algorithmic composition. Central to the investigation are the compositional strategies of 12 composers, which were documented through a dialogic and cyclic process of modelling and evaluating musical materials. The aesthetic premises and compositional approaches configure a rich spectrum of diverse positions, which is reflected also in the kinds of approaches and methods used. These approaches and methods include the generation and evaluation of chord sequences using genetic algorithms, the application of morphing strategies to research harmonic transformations, an automatic classification of personal preferences via machine learning, and an application of mathematical music theory to the analysis and resynthesis of musical material. The second part of the book features contributions by Sandeep Bhagwati, William Brooks, David Cope, Darla Crispin, Nicolas Donin, and Guerino Mazzola. These authors variously consider the project from different perspectives, offer independent approaches, or provide more general reflections from their respective research fields. 606 $aArtificial intelligence 606 $aPhysics 606 $aSystem theory 606 $aMusic 606 $aComputational complexity 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aApplications of Graph Theory and Complex Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/P33010 606 $aComplex Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/M13090 606 $aMusic$3https://scigraph.springernature.com/ontologies/product-market-codes/417000 606 $aComplexity$3https://scigraph.springernature.com/ontologies/product-market-codes/T11022 615 0$aArtificial intelligence. 615 0$aPhysics. 615 0$aSystem theory. 615 0$aMusic. 615 0$aComputational complexity. 615 14$aArtificial Intelligence. 615 24$aApplications of Graph Theory and Complex Networks. 615 24$aComplex Systems. 615 24$aMusic. 615 24$aComplexity. 676 $a004 676 $a006.3 676 $a519 676 $a620 702 $aNierhaus$b Gerhard$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910299238403321 996 $aPatterns of Intuition$92510156 997 $aUNINA