{"product_id":"advanced-techniques-and-technology-of-computer-aided-feedback-control-hardback-9781786302496","title":"Advanced Techniques and Technology of Computer-Aided Feedback Control (Hardback) 9781786302496","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eAdvanced Techniques and Technology of Computer-Aided Feedback Control\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eJean Mbihi (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781786302496, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 11 May 2018\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e256 pages\u003cbr\u003e23.6 x 16.5 x 1.9 cm, 0.531 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eThis book covers various modern theoretical, technical, practical and technological aspects of computerized numerical control and control systems of deterministic and stochastic dynamical processes. \u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xi\u003c\/p\u003e \u003cp\u003eIntroduction xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 1: Advanced Elements and Test Bench of Computer-aided Feedback Control 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1: Canonical Discrete State Models of Dynamic Processes 3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1. Interest and construction of canonical state models 3\u003c\/p\u003e \u003cp\u003e1.2. Canonical realizations of a transfer function G(z) 4\u003c\/p\u003e \u003cp\u003e1.2.1. Jordan canonical realization 4\u003c\/p\u003e \u003cp\u003e1.2.2. Controllable canonical realization7\u003c\/p\u003e \u003cp\u003e1.2.3. Observable canonical realization 9\u003c\/p\u003e \u003cp\u003e1.3. Canonical transformations of discrete state models 11\u003c\/p\u003e \u003cp\u003e1.3.1. Jordan canonical transformation 12\u003c\/p\u003e \u003cp\u003e1.3.2. Controllable canonical transformation 13\u003c\/p\u003e \u003cp\u003e1.3.3. Observable canonical transformation 16\u003c\/p\u003e \u003cp\u003e1.3.4. Kalman canonical transformation 19\u003c\/p\u003e \u003cp\u003e1.4. Canonical decomposition diagram 19\u003c\/p\u003e \u003cp\u003e1.5. Discretization and canonical transformations using Matlab 20\u003c\/p\u003e \u003cp\u003e1.6. Exercises and solutions 21\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2: Design and Simulation of Digital State Feedback Control Systems 27\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1. Principle of digital state feedback control 27\u003c\/p\u003e \u003cp\u003e2.2. Calculation of the gain K using pole placement 28\u003c\/p\u003e \u003cp\u003e2.3. State feedback with complete order observer 29\u003c\/p\u003e \u003cp\u003e2.3.1. Problem statement 29\u003c\/p\u003e \u003cp\u003e2.3.2. Structure of the complete or full state observer 29\u003c\/p\u003e \u003cp\u003e2.3.3. Synthesis diagram of the state feedback with complete observer 31\u003c\/p\u003e \u003cp\u003e2.4. Discrete state feedback with partial observer 34\u003c\/p\u003e \u003cp\u003e2.4.1. Problem statement 34\u003c\/p\u003e \u003cp\u003e2.4.2. Structure of the partial state observer 34\u003c\/p\u003e \u003cp\u003e2.4.3. Diagram of discrete state feedback with partial observer 37\u003c\/p\u003e \u003cp\u003e2.5. Discrete state feedback with set point tracking 40\u003c\/p\u003e \u003cp\u003e2.6. Block diagram of a digital control system 40\u003c\/p\u003e \u003cp\u003e2.7. Computer-aided simulation of a servomechanism 41\u003c\/p\u003e \u003cp\u003e2.7.1. Simulation of a speed servomechanism 41\u003c\/p\u003e \u003cp\u003e2.7.2. Computer-aided simulation of a position servomechanism 46\u003c\/p\u003e \u003cp\u003e2.8. Exercises and solutions 49\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3: Multimedia Test Bench for Computer-aided Feedback Control  61\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1. Context and interest 61\u003c\/p\u003e \u003cp\u003e3.1.1. Context 61\u003c\/p\u003e \u003cp\u003e3.1.2. Scientific\/teaching interest 62\u003c\/p\u003e \u003cp\u003e3.1.3. Platform presentation methodology 62\u003c\/p\u003e \u003cp\u003e3.2. Hardware constituents of the platform 62\u003c\/p\u003e \u003cp\u003e3.3. Design elements of the ServoSys software application 63\u003c\/p\u003e \u003cp\u003e3.3.1. Fundamental elements 63\u003c\/p\u003e \u003cp\u003e3.3.2. Elements of software programming 68\u003c\/p\u003e \u003cp\u003e3.4. Design of the ServoSys software application 74\u003c\/p\u003e \u003cp\u003e3.4.1. Architectural diagram of the software application 74\u003c\/p\u003e \u003cp\u003e3.4.2. SFC of the ServoSys multimedia platform 75\u003c\/p\u003e \u003cp\u003e3.5. Implementation of the ServoSys multimedia platform 80\u003c\/p\u003e \u003cp\u003e3.5.1. Hardware implementation 80\u003c\/p\u003e \u003cp\u003e3.5.2. Software implementation 81\u003c\/p\u003e \u003cp\u003e3.6. Overall tests of the platform 84\u003c\/p\u003e \u003cp\u003e3.6.1. Commissioning and procedures 84\u003c\/p\u003e \u003cp\u003e3.6.2. Samples of results displayed on the Matlab\/GUI panel 85\u003c\/p\u003e \u003cp\u003e3.7. Exercises and solutions 90\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 2: Deterministic and Stochastic Optimal Digital Feedback Control 97\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4: Deterministic Optimal Digital Feedback Control 99\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1. Optimal control: context and historical background 99\u003c\/p\u003e \u003cp\u003e4.1.1. Context 99\u003c\/p\u003e \u003cp\u003e4.1.2. Historical background 99\u003c\/p\u003e \u003cp\u003e4.2. General problem of discrete-time optimal control 102\u003c\/p\u003e \u003cp\u003e4.2.1. Principle 102\u003c\/p\u003e \u003cp\u003e4.2.2. Functional formulation 102\u003c\/p\u003e \u003cp\u003e4.3. Linear quadratic regulator (LQR) 103\u003c\/p\u003e \u003cp\u003e4.3.1. Definition, formulation and study methods 103\u003c\/p\u003e \u003cp\u003e4.3.2. H–J–B equations 104\u003c\/p\u003e \u003cp\u003e4.4. Translation in discrete time of continuous LQR problem 108\u003c\/p\u003e \u003cp\u003e4.4.1. Discretization of state equation 109\u003c\/p\u003e \u003cp\u003e4.4.2. Discretization of the cost function 109\u003c\/p\u003e \u003cp\u003e4.4.3. Case study of a scalar LQR problem 110\u003c\/p\u003e \u003cp\u003e4.5. Predictive optimal control 114\u003c\/p\u003e \u003cp\u003e4.5.1. Basic principle 114\u003c\/p\u003e \u003cp\u003e4.5.2. Recurrence equation of a process based on q–1 operator 116\u003c\/p\u003e \u003cp\u003e4.5.3. General formulation of a prediction model 116\u003c\/p\u003e \u003cp\u003e4.5.4. Solution and structure of predictive optimal control 118\u003c\/p\u003e \u003cp\u003e4.6. Exercises and solutions 119\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5: Stochastic Optimal Digital Feedback Control 127\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1. Introduction to stochastic dynamic processes 127\u003c\/p\u003e \u003cp\u003e5.2. Stochastic LQR 128\u003c\/p\u003e \u003cp\u003e5.2.1. Formulation 128\u003c\/p\u003e \u003cp\u003e5.2.2. Resolution of the stochastic H–J–B equation 129\u003c\/p\u003e \u003cp\u003e5.2.3. Block diagram of stochastic LQR 133\u003c\/p\u003e \u003cp\u003e5.2.4. Properties of stochastic LQR 134\u003c\/p\u003e \u003cp\u003e5.3. Discrete Kalman filter 136\u003c\/p\u003e \u003cp\u003e5.3.1. Scientific context and hypotheses 136\u003c\/p\u003e \u003cp\u003e5.3.2. Notations 136\u003c\/p\u003e \u003cp\u003e5.3.3. Closed-loop algorithmic diagram 137\u003c\/p\u003e \u003cp\u003e5.4. Linear Quadratic Gaussian regulator 139\u003c\/p\u003e \u003cp\u003e5.4.1. Context 139\u003c\/p\u003e \u003cp\u003e5.4.2. Separation principle 140\u003c\/p\u003e \u003cp\u003e5.4.3. Algorithmic diagram of LQG regulator 141\u003c\/p\u003e \u003cp\u003e5.5. Exercises and solutions 142\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6: Deployed Matlab\/GUI Platform for the Design and Virtual Simulation of Stochastic Optimal Control Systems 145\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1. Introduction to OPCODE (Optimal Control Design) platform 145\u003c\/p\u003e \u003cp\u003e6.1.1. Scientific context 145\u003c\/p\u003e \u003cp\u003e6.1.2. Detailed presentation methodology 145\u003c\/p\u003e \u003cp\u003e6.2. Fundamental OPCODE design elements 146\u003c\/p\u003e \u003cp\u003e6.2.1. Elements of deterministic optimal control 146\u003c\/p\u003e \u003cp\u003e6.2.2. Elements of stochastic optimal control 149\u003c\/p\u003e \u003cp\u003e6.3. Design of OPCODE using SFC 152\u003c\/p\u003e \u003cp\u003e6.3.1. Architectural diagram 152\u003c\/p\u003e \u003cp\u003e6.3.2. Implementation of SFC 155\u003c\/p\u003e \u003cp\u003e6.4. Software implementation 157\u003c\/p\u003e \u003cp\u003e6.5. Examples of OPCODE use 159\u003c\/p\u003e \u003cp\u003e6.5.1. Design of deterministic optimal control systems 159\u003c\/p\u003e \u003cp\u003e6.5.2. Design of stochastic optimal control systems 159\u003c\/p\u003e \u003cp\u003e6.6. Production of deployed OPCODE.EXE application 161\u003c\/p\u003e \u003cp\u003e6.6.1. Interest of Matlab\/GUI application deployment 161\u003c\/p\u003e \u003cp\u003e6.6.2. Deployment methodology 162\u003c\/p\u003e \u003cp\u003e6.6.3. Tests of deployed OPCODE.EXE application 162\u003c\/p\u003e \u003cp\u003e6.7. Exercises and solutions 164\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 3: Remotely Operated Feedback Control Systems via the Internet 169\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7: Elements of Remotely Operated Feedback Control Systems via the Internet 171\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1. Problem statement 171\u003c\/p\u003e \u003cp\u003e7.2. Infrastructural topologies 172\u003c\/p\u003e \u003cp\u003e7.2.1. Basic topology 172\u003c\/p\u003e \u003cp\u003e7.2.2. Advanced topologies 173\u003c\/p\u003e \u003cp\u003e7.3. Remotely operated laboratories via the Internet 176\u003c\/p\u003e \u003cp\u003e7.3.1. Comparison between classical and remotely operated laboratories 176\u003c\/p\u003e \u003cp\u003e7.3.2. Infrastructures on the server side of a remotely operated laboratory 178\u003c\/p\u003e \u003cp\u003e7.3.3. Criteria for the creation of a remotely operated laboratory 180\u003c\/p\u003e \u003cp\u003e7.4. Exercises and solutions 180\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8: Remotely Operated Automation Laboratory via the Internet 187\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1. Introduction to remotely operated automation laboratory 187\u003c\/p\u003e \u003cp\u003e8.1.1. Creation context 187\u003c\/p\u003e \u003cp\u003e8.1.2. Didactic context 188\u003c\/p\u003e \u003cp\u003e8.1.3. Specifications 188\u003c\/p\u003e \u003cp\u003e8.2. Design and implementation of the experimental system 189\u003c\/p\u003e \u003cp\u003e8.2.1. Descriptive diagrams 189\u003c\/p\u003e \u003cp\u003e8.2.2. Dynamic model of the real power lighting system 191\u003c\/p\u003e \u003cp\u003e8.2.3. Dynamic model of the PID controller for power lighting 191\u003c\/p\u003e \u003cp\u003e8.2.4. MMMI-aided Labview application 192\u003c\/p\u003e \u003cp\u003e8.3. Topology of the remotely operated automation laboratory 193\u003c\/p\u003e \u003cp\u003e8.3.1. Hardware infrastructure 194\u003c\/p\u003e \u003cp\u003e8.3.2. Specialized infrastructure on the server side 194\u003c\/p\u003e \u003cp\u003e8.3.3. Infrastructure on the remote operator side 196\u003c\/p\u003e \u003cp\u003e8.4. Use of a remotely operated laboratory via the Internet 196\u003c\/p\u003e \u003cp\u003e8.4.1. Procedure instruction sheet 196\u003c\/p\u003e \u003cp\u003e8.4.2. Samples of test results obtained with REOPAULAB 197\u003c\/p\u003e \u003cp\u003e8.5. Exercises and solutions 200\u003c\/p\u003e \u003cp\u003eAppendices 207\u003c\/p\u003e \u003cp\u003eAppendix 1. Table of z-transforms 209\u003c\/p\u003e \u003cp\u003eAppendix 2. Matlab Elements Used in this Book 211\u003c\/p\u003e \u003cp\u003eAppendix 3. Discretization of Transfer Functions 215\u003c\/p\u003e \u003cp\u003eBibliography 217\u003c\/p\u003e \u003cp\u003eIndex 219\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mathematics [\u003ca title=\"See our other books on Mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mathematics%20%5BPB%5D%22\"\u003ePB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-ISTE","offers":[{"title":"Brand New","offer_id":52446468407576,"sku":"9781786302496","price":100.57,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781786302496.jpg?v=1785111891","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/advanced-techniques-and-technology-of-computer-aided-feedback-control-hardback-9781786302496","provider":"Freshly Printed Books","version":"1.0","type":"link"}