{"product_id":"process-dynamics-and-control-isbn-9781119285915","title":"Process Dynamics and Control","description":"The new 4th edition of Seborg’s \u003cb\u003e\u003ci\u003eProcess Dynamics Control\u003c\/i\u003e\u003c\/b\u003e provides full topical coverage for process control courses in the chemical engineering curriculum, emphasizing how process control and its related fields of process modeling and optimization are essential to the development of high-value products. A principal objective of this new edition is to describe modern techniques for control processes, with an emphasis on complex systems necessary to the development, design, and operation of modern processing plants. Control process instructors can cover the basic material while also having the flexibility to include advanced topics. \u003cb\u003ePART ONE INTRODUCTION TO PROCESS CONTROL\u003c\/b\u003e \u003cp\u003e\u003cb\u003e1. Introduction to Process Control 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Representative Process Control Problems 2\u003c\/p\u003e \u003cp\u003e1.2 Illustrative Example—A Blending Process 4\u003c\/p\u003e \u003cp\u003e1.3 Classification of Process Control Strategies 5\u003c\/p\u003e \u003cp\u003e1.4 A More Complicated Example—A Distillation Column 7\u003c\/p\u003e \u003cp\u003e1.5 The Hierarchy of Process Control Activities 8\u003c\/p\u003e \u003cp\u003e1.6 An Overview of Control System Design 10\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2. Theoretical Models of Chemical Processes 14\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 The Rationale for Dynamic Process Models 14\u003c\/p\u003e \u003cp\u003e2.2 General Modeling Principles 16\u003c\/p\u003e \u003cp\u003e2.3 Degrees of Freedom Analysis 19\u003c\/p\u003e \u003cp\u003e2.4 Dynamic Models of Representative Processes 21\u003c\/p\u003e \u003cp\u003e2.5 Process Dynamics and Mathematical Models 30\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART TWO DYNAMIC BEHAVIOR OF PROCESSES\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3. Laplace Transforms 38\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Laplace Transforms of Representative Functions 39\u003c\/p\u003e \u003cp\u003e3.2 Solution of Differential Equations by Laplace Transform Techniques 42\u003c\/p\u003e \u003cp\u003e3.3 Partial Fraction Expansion 43\u003c\/p\u003e \u003cp\u003e3.4 Other Laplace Transform Properties 45\u003c\/p\u003e \u003cp\u003e3.5 A Transient Response Example 47\u003c\/p\u003e \u003cp\u003e3.6 Software for Solving Symbolic Mathematical Problems 49\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4. Transfer Function Models 54\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction to Transfer Function Models 54\u003c\/p\u003e \u003cp\u003e4.2 Properties of Transfer Functions 57\u003c\/p\u003e \u003cp\u003e4.3 Linearization of Nonlinear Models 61\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5. Dynamic Behavior of First-Order and Second-Order Processes 68\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Standard Process Inputs 69\u003c\/p\u003e \u003cp\u003e5.2 Response of First-Order Processes 70\u003c\/p\u003e \u003cp\u003e5.3 Response of Integrating Processes 73\u003c\/p\u003e \u003cp\u003e5.4 Response of Second-Order Processes 75\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6. Dynamic Response Characteristics of More Complicated Processes 86\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Poles and Zeros and Their Effect on Process Response 86\u003c\/p\u003e \u003cp\u003e6.2 Processes with Time Delays 89\u003c\/p\u003e \u003cp\u003e6.3 Approximation of Higher-Order Transfer Functions 92\u003c\/p\u003e \u003cp\u003e6.4 Interacting and Noninteracting Processes 94\u003c\/p\u003e \u003cp\u003e6.5 State-Space and Transfer Function Matrix Models 95\u003c\/p\u003e \u003cp\u003e6.6 Multiple-Input, Multiple-Output (MIMO) Processes 98\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7. Development of Empirical Models from Process Data 105\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Model Development Using Linear or Nonlinear Regression 106\u003c\/p\u003e \u003cp\u003e7.2 Fitting First- and Second-Order Models Using Step Tests 109\u003c\/p\u003e \u003cp\u003e7.3 Neural Network Models 113\u003c\/p\u003e \u003cp\u003e7.4 Development of Discrete-Time Dynamic Models 115\u003c\/p\u003e \u003cp\u003e7.5 Identifying Discrete-Time Models from Experimental Data 116\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART THREE FEEDBACK AND FEEDFORWARD CONTROL\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8. Feedback Controllers 123\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 123\u003c\/p\u003e \u003cp\u003e8.2 Basic Control Modes 125\u003c\/p\u003e \u003cp\u003e8.3 Features of PID Controllers 130\u003c\/p\u003e \u003cp\u003e8.4 Digital Versions of PID Controllers 133\u003c\/p\u003e \u003cp\u003e8.5 Typical Responses of Feedback Control Systems 135\u003c\/p\u003e \u003cp\u003e8.6 On–Off Controllers 136\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9. Control System Instrumentation 140\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Sensors, Transmitters, and Transducers 141\u003c\/p\u003e \u003cp\u003e9.2 Final Control Elements 148\u003c\/p\u003e \u003cp\u003e9.3 Accuracy in Instrumentation 154\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10. Process Safety and Process Control 160\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Layers of Protection 161\u003c\/p\u003e \u003cp\u003e10.2 Alarm Management 165\u003c\/p\u003e \u003cp\u003e10.3 Abnormal Event Detection 169\u003c\/p\u003e \u003cp\u003e10.4 Risk Assessment 170\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11. Dynamic Behavior and Stability of Closed-Loop Control Systems 175\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Block Diagram Representation 176\u003c\/p\u003e \u003cp\u003e11.2 Closed-Loop Transfer Functions 178\u003c\/p\u003e \u003cp\u003e11.3 Closed-Loop Responses of Simple Control Systems 181\u003c\/p\u003e \u003cp\u003e11.4 Stability of Closed-Loop Control Systems 186\u003c\/p\u003e \u003cp\u003e11.5 Root Locus Diagrams 191\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12. PID Controller Design, Tuning, and Troubleshooting 199\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Performance Criteria for Closed-Loop Systems 200\u003c\/p\u003e \u003cp\u003e12.2 Model-Based Design Methods 201\u003c\/p\u003e \u003cp\u003e12.3 Controller Tuning Relations 206\u003c\/p\u003e \u003cp\u003e12.4 Controllers with Two Degrees of Freedom 213\u003c\/p\u003e \u003cp\u003e12.5 On-Line Controller Tuning 214\u003c\/p\u003e \u003cp\u003e12.6 Guidelines for Common Control Loops 220\u003c\/p\u003e \u003cp\u003e12.7 Troubleshooting Control Loops 222\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13. Control Strategies at the Process Unit Level 229\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 Degrees of Freedom Analysis for Process Control 230\u003c\/p\u003e \u003cp\u003e13.2 Selection of Controlled, Manipulated, and Measured Variables 232\u003c\/p\u003e \u003cp\u003e13.3 Applications 235\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14. Frequency Response Analysis and Control System Design 244\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14.1 Sinusoidal Forcing of a First-Order Process 244\u003c\/p\u003e \u003cp\u003e14.2 Sinusoidal Forcing of an nth-Order Process 246\u003c\/p\u003e \u003cp\u003e14.3 Bode Diagrams 247\u003c\/p\u003e \u003cp\u003e14.4 Frequency Response Characteristics of Feedback Controllers 251\u003c\/p\u003e \u003cp\u003e14.5 Nyquist Diagrams 252\u003c\/p\u003e \u003cp\u003e14.6 Bode Stability Criterion 252\u003c\/p\u003e \u003cp\u003e14.7 Gain and Phase Margins 256\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15. Feedforward and Ratio Control 262\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction to Feedforward Control 263\u003c\/p\u003e \u003cp\u003e15.2 Ratio Control 264\u003c\/p\u003e \u003cp\u003e15.3 Feedforward Controller Design Based on Steady-State Models 266\u003c\/p\u003e \u003cp\u003e15.4 Feedforward Controller Design Based on Dynamic Models 268\u003c\/p\u003e \u003cp\u003e15.5 The Relationship Between the Steady-State and Dynamic Design Methods 272\u003c\/p\u003e \u003cp\u003e15.6 Configurations for Feedforward–Feedback Control 272\u003c\/p\u003e \u003cp\u003e15.7 Tuning Feedforward Controllers 273\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART FOUR ADVANCED PROCESS CONTROL\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16. Enhanced Single-Loop Control Strategies 279\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e16.1 Cascade Control 279\u003c\/p\u003e \u003cp\u003e16.2 Time-Delay Compensation 284\u003c\/p\u003e \u003cp\u003e16.3 Inferential Control 286\u003c\/p\u003e \u003cp\u003e16.4 Selective Control\/Override Systems 287\u003c\/p\u003e \u003cp\u003e16.5 Nonlinear Control Systems 289\u003c\/p\u003e \u003cp\u003e16.6 Adaptive Control Systems 292\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17. Digital Sampling, Filtering, and Control 300\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e17.1 Sampling and Signal Reconstruction 300\u003c\/p\u003e \u003cp\u003e17.2 Signal Processing and Data Filtering 303\u003c\/p\u003e \u003cp\u003e17.3 z-Transform Analysis for Digital Control 307\u003c\/p\u003e \u003cp\u003e17.4 Tuning of Digital PID Controllers 313\u003c\/p\u003e \u003cp\u003e17.5 Direct Synthesis for Design of Digital Controllers 315\u003c\/p\u003e \u003cp\u003e17.6 Minimum Variance Control 319\u003c\/p\u003e \u003cp\u003e\u003cb\u003e18. Multiloop and Multivariable Control 326\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e18.1 Process Interactions and Control Loop Interactions 327\u003c\/p\u003e \u003cp\u003e18.2 Pairing of Controlled and Manipulated Variables 331\u003c\/p\u003e \u003cp\u003e18.3 Singular Value Analysis 338\u003c\/p\u003e \u003cp\u003e18.4 Tuning of Multiloop PID Control Systems 341\u003c\/p\u003e \u003cp\u003e18.5 Decoupling and Multivariable Control Strategies 342\u003c\/p\u003e \u003cp\u003e18.6 Strategies for Reducing Control Loop Interactions 343\u003c\/p\u003e \u003cp\u003e\u003cb\u003e19. Real-Time Optimization 350\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e19.1 Basic Requirements in Real-Time Optimization 352\u003c\/p\u003e \u003cp\u003e19.2 The Formulation and Solution of RTO Problems 354\u003c\/p\u003e \u003cp\u003e19.3 Unconstrained and Constrained Optimization 356\u003c\/p\u003e \u003cp\u003e19.4 Linear Programming 359\u003c\/p\u003e \u003cp\u003e19.5 Quadratic and Nonlinear Programming 362\u003c\/p\u003e \u003cp\u003e\u003cb\u003e20. Model Predictive Control 368\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e20.1 Overview of Model Predictive Control 369\u003c\/p\u003e \u003cp\u003e20.2 Predictions for SISO Models 370\u003c\/p\u003e \u003cp\u003e20.3 Predictions for MIMO Models 377\u003c\/p\u003e \u003cp\u003e20.4 Model Predictive Control Calculations 379\u003c\/p\u003e \u003cp\u003e20.5 Set-Point Calculations 382\u003c\/p\u003e \u003cp\u003e20.6 Selection of Design and Tuning Parameters 384\u003c\/p\u003e \u003cp\u003e20.7 Implementation of MPC 389\u003c\/p\u003e \u003cp\u003e\u003cb\u003e21. Process Monitoring 395\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e21.1 Traditional Monitoring Techniques 397\u003c\/p\u003e \u003cp\u003e21.2 Quality Control Charts 398\u003c\/p\u003e \u003cp\u003e21.3 Extensions of Statistical Process Control 404\u003c\/p\u003e \u003cp\u003e21.4 Multivariate Statistical Techniques 406\u003c\/p\u003e \u003cp\u003e21.5 Control Performance Monitoring 408\u003c\/p\u003e \u003cp\u003e\u003cb\u003e22. Batch Process Control 413\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e22.1 Batch Control Systems 415\u003c\/p\u003e \u003cp\u003e22.2 Sequential and Logic Control 416\u003c\/p\u003e \u003cp\u003e22.3 Control During the Batch 421\u003c\/p\u003e \u003cp\u003e22.4 Run-to-Run Control 426\u003c\/p\u003e \u003cp\u003e22.5 Batch Production Management 427\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART FIVE APPLICATIONS TO BIOLOGICAL SYSTEMS\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e23. Biosystems Control Design 435\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e23.1 Process Modeling and Control in Pharmaceutical Operations 435\u003c\/p\u003e \u003cp\u003e23.2 Process Modeling and Control for Drug Delivery 442\u003c\/p\u003e \u003cp\u003e\u003cb\u003e24. Dynamics and Control of Biological Systems 451\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e24.1 Systems Biology 451\u003c\/p\u003e \u003cp\u003e24.2 Gene Regulatory Control 453\u003c\/p\u003e \u003cp\u003e24.3 Signal Transduction Networks 457\u003c\/p\u003e \u003cp\u003eAppendix A: Digital Process Control Systems: Hardware and Software 464\u003c\/p\u003e \u003cp\u003eA.1 Distributed Digital Control Systems 465\u003c\/p\u003e \u003cp\u003eA.2 Analog and Digital Signals and Data Transfer 466\u003c\/p\u003e \u003cp\u003eA.3 Microprocessors and Digital Hardware in Process Control 467\u003c\/p\u003e \u003cp\u003eA.4 Software Organization 470\u003c\/p\u003e \u003cp\u003eAppendix B: Review of Thermodynamic Concepts for Conservation Equations 478\u003c\/p\u003e \u003cp\u003eB.1 Single-Component Systems 478\u003c\/p\u003e \u003cp\u003eB.2 Multicomponent Systems 479\u003c\/p\u003e \u003cp\u003eAppendix C: Control Simulation Software 480\u003c\/p\u003e \u003cp\u003eC.1 MATLAB Operations and Equation Solving 480\u003c\/p\u003e \u003cp\u003eC.2 Computer Simulation with Simulink 482\u003c\/p\u003e \u003cp\u003eC.3 Computer Simulation with LabVIEW 485\u003c\/p\u003e \u003cp\u003eAppendix D: Instrumentation Symbols 487\u003c\/p\u003e \u003cp\u003eAppendix E: Process Control Modules 489\u003c\/p\u003e \u003cp\u003eE.1 Introduction 489\u003c\/p\u003e \u003cp\u003eE.2 Module Organization 489\u003c\/p\u003e \u003cp\u003eE.3 Hardware and Software Requirements 490\u003c\/p\u003e \u003cp\u003eE.4 Installation 490\u003c\/p\u003e \u003cp\u003eE.5 Running the Software 490\u003c\/p\u003e \u003cp\u003eAppendix F: Review of Basic Concepts From Probability and Statistics 491\u003c\/p\u003e \u003cp\u003eF.1 Probability Concepts 491\u003c\/p\u003e \u003cp\u003eF.2 Means and Variances 492\u003c\/p\u003e \u003cp\u003eF.3 Standard Normal Distribution 493\u003c\/p\u003e \u003cp\u003eF.4 Error Analysis 493\u003c\/p\u003e \u003cp\u003eAppendix G: Introduction to Plantwide Control (Available online at: \u003ca href=\"http:\/\/www.wiley.com\/college\/seborg\"\u003ewww.wiley.com\/college\/seborg\u003c\/a\u003e)\u003c\/p\u003e \u003cp\u003eAppendix H: Plantwide Control System Design (Available online at: \u003ca href=\"http:\/\/www.wiley.com\/college\/seborg\"\u003ewww.wiley.com\/college\/seborg\u003c\/a\u003e)\u003c\/p\u003e \u003cp\u003eAppendix I: Dynamic Models and Parameters Used for Plantwide Control Chapters (Available online at: \u003ca href=\"http:\/\/www.wiley.com\/college\/seborg\"\u003ewww.wiley.com\/college\/seborg\u003c\/a\u003e)\u003c\/p\u003e \u003cp\u003eAppendix J: Additional Closed-Loop Frequency Response Material (Available online at: \u003ca href=\"http:\/\/www.wiley.com\/college\/seborg\"\u003ewww.wiley.com\/college\/seborg\u003c\/a\u003e)\u003c\/p\u003e \u003cp\u003eAppendix K: Contour Mapping and the Principle of the Argument (Available online at: \u003ca href=\"http:\/\/www.wiley.com\/college\/seborg\"\u003ewww.wiley.com\/college\/seborg\u003c\/a\u003e)\u003c\/p\u003e \u003cp\u003eAppendix L: Partial Fraction Expansions for Repeated and Complex Factors (Available online at: \u003ca href=\"http:\/\/www.wiley.com\/college\/seborg\"\u003ewww.wiley.com\/college\/seborg\u003c\/a\u003e)\u003c\/p\u003e \u003cp\u003eIndex 495\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDale E. Seborg \u003c\/b\u003eis a Professor and Vice Chair of the Department of Chemical Engineering at the University of California, Santa Barbara. He received his B.S. degree from the University of Wisconsin and his Ph.D. degree from Princeton University. Dr. Seborg has published over 200 articles and co-edited three books on process control and related topics. Dr. Seborg has served on the Editorial Advisor Boards for control engineering journals and book series, and has been a co-organizer of several major conferences. He is an active industrial consultant who serves as an expert witness in legal proceedings.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eThomas F. Edgar \u003c\/b\u003eholds the Abell Chair in chemical engineering at the University of Texas at Austin. He earned a B.S. degree in chemical engineering from the University of Kansas and a Ph.D. from Princeton University. He has published over 300 papers in the field of process control, optimization, and mathematical modeling of processes such as separations, combustion, and microelectronics processing. Dr. Edgar was president of AIChE in 1997 and President of the American Automatic Control Council in 1989–91.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDuncan A. Mellichamp \u003c\/b\u003eis professor Emeritus and founding member of the faculty of the chemical engineering department at the University of California, Santa Barbara. He is editor of an early book on data acquisition and control computing and has published more than one hundred papers on process modeling, large scale\/plantwide systems analysis, and computer control. He earned a B.S. degree from Georgia Tech and a Ph.D. from Purdue University with intermediate studies at the Technische Universität Stuttgart (Germany). He presently serves on the governing boards of several nonprofit organizations.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eFrancis J. Doyle III \u003c\/b\u003eis the Associate Dean for Research in the College of Engineering at the University of California, Santa Barbara. He holds the Duncan and Suzanne Mellichamp Chair in Process Control in the Department of Chemical Engineering, as well as appointments in the Electrical Engineering Department, and the Biomolecular Science and Engineering Program. He received his B.S.E. from Princeton, C.P.G.S. from Cambridge, and Ph.D. from Caltech, all in Chemical Engineering. He is a Fellow of IEEE, IFAC, and AIMBE; he is also the recipient of multiple research awards (including the AIChE Computing in Chemical Engineering Award) as well as teaching awards (including the ASEE Ray Fahien Award).\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989860663525,"sku":"NP9781119285915","price":104.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119285915.jpg?v=1761785708","url":"https:\/\/k12savings.com\/es\/products\/process-dynamics-and-control-isbn-9781119285915","provider":"K12savings","version":"1.0","type":"link"}