{"product_id":"analog-automation-and-digital-feedback-control-techniques-hardback-9781786302489","title":"Analog Automation and Digital Feedback Control Techniques (Hardback) 9781786302489","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eAnalog Automation and Digital Feedback Control Techniques\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\"\u003e9781786302489, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 9 March 2018\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e256 pages\u003cbr\u003e23.9 x 16.5 x 2 cm, 0.522 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\u003e\u003cb\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\/b\u003e\u003c\/p\u003e \u003cp\u003eReaders will discover:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eA review of the fundamentals and results of the theory of analogue control systems\u003c\/li\u003e \u003cli\u003eA clear and detailed presentation on the experimental modeling of dynamic processes\u003c\/li\u003e \u003cli\u003eFrequency synthesis techniques and in the state space of digital control systems\u003c\/li\u003e \u003cli\u003eConcrete applications of deterministic and stochastic optimal regulation laws\u003c\/li\u003e \u003cli\u003eNew multimedia platforms, training and experimental automated research\u003c\/li\u003e \u003cli\u003eVarious topologies and creation strategies, computer-aided telecontrol regulation systems, as well as a prototype of an automated laboratory that can be remotely operated via the Internet\u003c\/li\u003e \u003cli\u003eSimple Matlab programs to reproduce, where necessary, the main numerical and graphical results presented\u003c\/li\u003e \u003cli\u003eMany exercises corrected at the end of each chapter\u003c\/li\u003e \u003cli\u003eDetailed studies of practical automation projects, aimed at consolidating the skills of the automation profession acquired in the book\u003c\/li\u003e \u003c\/ul\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface ix\u003c\/p\u003e \u003cp\u003eIntroduction xiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 1. Analog Feedback Control Systems \u003c\/b\u003e\u003cb\u003e1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1. Models of Dynamic Processes \u003c\/b\u003e\u003cb\u003e3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1. Introduction to dynamic processes 3\u003c\/p\u003e \u003cp\u003e1.1.1. Definition, hypotheses and notations 3\u003c\/p\u003e \u003cp\u003e1.1.2. Implications of hypotheses 4\u003c\/p\u003e \u003cp\u003e1.1.3. Dynamic model: an automation perspective 5\u003c\/p\u003e \u003cp\u003e1.2. Transfer functions 6\u003c\/p\u003e \u003cp\u003e1.2.1. Existence conditions 6\u003c\/p\u003e \u003cp\u003e1.2.2. Construction 6\u003c\/p\u003e \u003cp\u003e1.2.3. General structure of a transfer function 8\u003c\/p\u003e \u003cp\u003e1.2.4. Tools for the analysis of the properties of transfer functions 8\u003c\/p\u003e \u003cp\u003e1.2.5. First- and second-order transfer functions 8\u003c\/p\u003e \u003cp\u003e1.3. State models 12\u003c\/p\u003e \u003cp\u003e1.3.1. Definition 12\u003c\/p\u003e \u003cp\u003e1.3.2. Illustrative example 13\u003c\/p\u003e \u003cp\u003e1.3.3. General structure of the state model 14\u003c\/p\u003e \u003cp\u003e1.4. Linear state models with constant parameters 15\u003c\/p\u003e \u003cp\u003e1.4.1. Linearization-based construction 15\u003c\/p\u003e \u003cp\u003e1.4.2. Structure of a linear state model with constant parameters 16\u003c\/p\u003e \u003cp\u003e1.4.3. Properties of a model without pure input delay (τ\u003csub\u003e0 \u003c\/sub\u003e= 0) 18\u003c\/p\u003e \u003cp\u003e1.5. Similarity transformation 20\u003c\/p\u003e \u003cp\u003e1.6. Exercises and solutions 21\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2. Experimental Modeling Approach of Dynamic Processes \u003c\/b\u003e\u003cb\u003e39\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1. Introduction to experimental modeling 39\u003c\/p\u003e \u003cp\u003e2.1.1. Problem statement 39\u003c\/p\u003e \u003cp\u003e2.1.2. Principle of experimental modeling 39\u003c\/p\u003e \u003cp\u003e2.1.3. Experimental modeling methodology 40\u003c\/p\u003e \u003cp\u003e2.2. Step response-based modeling 44\u003c\/p\u003e \u003cp\u003e2.2.1. Model of order 1 44\u003c\/p\u003e \u003cp\u003e2.2.2. Under-damped model of order 2 (ξ \u0026lt; 1) 44\u003c\/p\u003e \u003cp\u003e2.2.3. Damped model of order ≥ 2 (Strejc method) 46\u003c\/p\u003e \u003cp\u003e2.3. Frequency response-based modeling 50\u003c\/p\u003e \u003cp\u003e2.4. Modeling based on ARMA model 52\u003c\/p\u003e \u003cp\u003e2.4.1. ARMA model 52\u003c\/p\u003e \u003cp\u003e2.4.2. Parameter estimation of an ARMA model 54\u003c\/p\u003e \u003cp\u003e2.5. Matlab-aided experimental modeling 56\u003c\/p\u003e \u003cp\u003e2.6. Exercises and solutions 58\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3. Review of Analog Feedback Control Systems \u003c\/b\u003e\u003cb\u003e73\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1. Open-loop analog control 73\u003c\/p\u003e \u003cp\u003e3.1.1. Principle 73\u003c\/p\u003e \u003cp\u003e3.1.2. Open-loop control 74\u003c\/p\u003e \u003cp\u003e3.2. Analog control system 74\u003c\/p\u003e \u003cp\u003e3.3. Performances of an analog control system 75\u003c\/p\u003e \u003cp\u003e3.3.1. Closed-loop transfer functions 75\u003c\/p\u003e \u003cp\u003e3.3.2. Performance quantities 76\u003c\/p\u003e \u003cp\u003e3.4. Simple analog controllers 76\u003c\/p\u003e \u003cp\u003e3.5. PID\/PIDF controllers 77\u003c\/p\u003e \u003cp\u003e3.5.1. Structure and role of the parameters of a PID\/PIDF controller 77\u003c\/p\u003e \u003cp\u003e3.5.2. Ziegler–Nichols methods for parameter calculation 79\u003c\/p\u003e \u003cp\u003e3.5.3. Calculation of parameters by pole placement 79\u003c\/p\u003e \u003cp\u003e3.5.4. Direct calculation of optimal PID parameters 81\u003c\/p\u003e \u003cp\u003e3.5.5. LQR-based indirect calculation of optimal PID parameters 85\u003c\/p\u003e \u003cp\u003e3.5.6. Implementation of analog controllers 85\u003c\/p\u003e \u003cp\u003e3.6. Controllers described in the state space 86\u003c\/p\u003e \u003cp\u003e3.6.1. Principle and block diagram of a linear state feedback 86\u003c\/p\u003e \u003cp\u003e3.6.2. Techniques for calculating the state feedback gain 87\u003c\/p\u003e \u003cp\u003e3.6.3. Integral action state feedback 88\u003c\/p\u003e \u003cp\u003e3.6.4. State feedback with integral action and observer 90\u003c\/p\u003e \u003cp\u003e3.6.5. State feedback with output error compensator 92\u003c\/p\u003e \u003cp\u003e3.7. Principle of equivalence between PID and LQR controllers 92\u003c\/p\u003e \u003cp\u003e3.7.1. Proof of the equivalence principle 93\u003c\/p\u003e \u003cp\u003e3.7.2. Equivalence relation 96\u003c\/p\u003e \u003cp\u003e3.7.3. Case study 96\u003c\/p\u003e \u003cp\u003e3.8. Exercises and solutions 99\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 2. Synthesis and Computer-aided Simulation of Digital Feedback Control Systems \u003c\/b\u003e\u003cb\u003e123\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4. Synthesis of Digital Feedback Control Systems in the Frequency Domain \u003c\/b\u003e\u003cb\u003e125\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1. Synthesis methodology 125\u003c\/p\u003e \u003cp\u003e4.2. Transfer function G(z) of a dynamic process 125\u003c\/p\u003e \u003cp\u003e4.2.1. Sampled dynamic model 125\u003c\/p\u003e \u003cp\u003e4.2.2. Discretization of G\u003csub\u003ec\u003c\/sub\u003e(p) if input delay τ\u003csub\u003e0 \u003c\/sub\u003e= 0 126\u003c\/p\u003e \u003cp\u003e4.2.3. Discretization of G\u003csub\u003ec\u003c\/sub\u003e(s) if input delay τ\u003csub\u003e0 \u003c\/sub\u003e# 0 128\u003c\/p\u003e \u003cp\u003e4.2.4. Examples of calculation of G(z) by discretization of G\u003csub\u003ec\u003c\/sub\u003e(s) 132\u003c\/p\u003e \u003cp\u003e4.3. Transfer function D(\u003ci\u003ez\u003c\/i\u003e): discretization method 136\u003c\/p\u003e \u003cp\u003e4.3.1. Interest of discretization 136\u003c\/p\u003e \u003cp\u003e4.3.2. Discretization of D\u003csub\u003ec\u003c\/sub\u003e(s) by invariance methods 137\u003c\/p\u003e \u003cp\u003e4.3.3. Discretization of D\u003csub\u003ec\u003c\/sub\u003e(s) by transformation methods 139\u003c\/p\u003e \u003cp\u003e4.3.4. z-Transfer functions of simple controllers 142\u003c\/p\u003e \u003cp\u003e4.3.5. General structure of D(z) and recurrence equation 144\u003c\/p\u003e \u003cp\u003e4.3.6. Discretization of transfer functions with Matlab 145\u003c\/p\u003e \u003cp\u003e4.4. Transfer function D(z): model method 146\u003c\/p\u003e \u003cp\u003e4.4.1. Principle of the model method 146\u003c\/p\u003e \u003cp\u003e4.4.2. Examples of direct design of digital controllers 146\u003c\/p\u003e \u003cp\u003e4.4.3. Conditions for the use of model approach 148\u003c\/p\u003e \u003cp\u003e4.4.4. Practical rules for using the model approach 149\u003c\/p\u003e \u003cp\u003e4.5. Discrete block diagram of digital control 150\u003c\/p\u003e \u003cp\u003e4.5.1. Closed-loop characteristic transfer functions 151\u003c\/p\u003e \u003cp\u003e4.5.2. Sampling frequency 152\u003c\/p\u003e \u003cp\u003e4.6. Exercises and solutions 154\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5. Computer-aided Simulation of Digital Feedback Control Systems \u003c\/b\u003e\u003cb\u003e177\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1. Approaches to computer-aided simulation 177\u003c\/p\u003e \u003cp\u003e5.2. Programming of joint recurrence equations 178\u003c\/p\u003e \u003cp\u003e5.2.1. Formulation 178\u003c\/p\u003e \u003cp\u003e5.2.2. Example of Matlab\u003csup\u003e® \u003c\/sup\u003eprogramming 179\u003c\/p\u003e \u003cp\u003e5.3. Simulation using Matlab macro programming 183\u003c\/p\u003e \u003cp\u003e5.4. Graphic simulation 186\u003c\/p\u003e \u003cp\u003e5.5. Case study: simulation of servomechanisms 187\u003c\/p\u003e \u003cp\u003e5.5.1. Simulation of a speed servomechanism 187\u003c\/p\u003e \u003cp\u003e5.5.2. Simulation of a position servomechanism 191\u003c\/p\u003e \u003cp\u003e5.6. Exercises and solutions 194\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6. Discrete State Models of Dynamic Processes \u003c\/b\u003e\u003cb\u003e199\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1. Discretization of the state model of a dynamic process 199\u003c\/p\u003e \u003cp\u003e6.1.1. Discretization of a state model 200\u003c\/p\u003e \u003cp\u003e6.1.2. Discretization of a state model with input delay 201\u003c\/p\u003e \u003cp\u003e6.2. Calculation of {A, B, C, D} parameters of a discrete state model 204\u003c\/p\u003e \u003cp\u003e6.2.1. Calculation of A = e\u003csup\u003eAT \u003c\/sup\u003e204\u003c\/p\u003e \u003cp\u003e6.2.2. Calculation of B 206\u003c\/p\u003e \u003cp\u003e6.2.3. Calculation of C and D 208\u003c\/p\u003e \u003cp\u003e6.3. Properties of a discrete state model {A, B, C, D} 208\u003c\/p\u003e \u003cp\u003e6.3.1. Infinity of state models of one dynamic process 208\u003c\/p\u003e \u003cp\u003e6.3.2. Stability 209\u003c\/p\u003e \u003cp\u003e6.3.3. Controllability and stabilizability 209\u003c\/p\u003e \u003cp\u003e6.3.4. Observability and detectability 210\u003c\/p\u003e \u003cp\u003e6.4. Exercises and solutions 210\u003c\/p\u003e \u003cp\u003eAppendices 215\u003c\/p\u003e \u003cp\u003eAppendix 1. Table of Z-transforms 217\u003c\/p\u003e \u003cp\u003eAppendix 2. Matlab\u003csup\u003e®\u003c\/sup\u003e Elements Used in This Book 219\u003c\/p\u003e \u003cp\u003eBibliography 223\u003c\/p\u003e \u003cp\u003eIndex 227\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":52446468047128,"sku":"9781786302489","price":100.57,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781786302489.jpg?v=1785111891","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/analog-automation-and-digital-feedback-control-techniques-hardback-9781786302489","provider":"Freshly Printed Books","version":"1.0","type":"link"}