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020			_a9789354248429
041			_aEnglish
082			_a660.2815 S43, 4
100			_aSeborg, Dale E. _eAuthor _91538
100			_aEdgar, Thomas F. _eCo-Author _91465
100			_aMellichamp, Duncan A. _eCo-Author _91541
100			_aDoyle III, Francis J. _eCo-Author _92745
245			_aProcess dynamics and control
250			_a4th ed.
260			_bWiley India Pvt. Ltd, _c2021. _aNew Delhi:
300			_axxi, 593p, Appendix I1-19, J1-20, K1-6, L1-19, M1-3, N1-3, Index 1-8; 23cms.
500			_aThis Indian adaptation of the fourth edition of the book, builds on the conceptual strength of the previous editions, with the focus on addition and reorganization of topics to make it a better-fit textbook for Indian Universities. It offers new and updated material on basic and advanced process control, particularly related to MATLAB® applications. Useful new key features are presentation of the entire text including solved examples and exercise problems in SI units and extensive use of MATLAB®/Simulink® to supplement standard hand-solved examples. Preface to the Adapted Edition Preface Part One: Introduction to Process Control Chapter 1 Introduction to Process Control 1.1 Need for Control Systems 1.2 Characteristics of Process Control Problems 1.3 Designing Control Systems for a Process 1.4 Classification of Process Control Strategies 1.5 Multiloop Versus Multivariable Control 1.6 Design Aspects of Control Systems Chapter 2 Theoretical Models of Chemical Processes 2.1 Dynamic Process Models – Their Strengths and Limitations 2.2 General Modeling Principles 2.3 Degrees of Freedom Analysis 2.4 Degrees of Freedom Analysis for Process Control 2.5 Dynamic Models of Representative Processes 2.6 Solving Differential Equations using MATLAB Part Two: Dynamic Behavior of Processes Chapter 3 Laplace Transforms 3.1 Laplace Transforms of Representative Functions 3.2 Solution of Differential Equations by Laplace Transform Techniques 3.3 Partial Fraction Expansion (PFE) 3.4 Other Laplace Transform Properties 3.5 A Transient Response Example 3.6 Solving Laplace Transform Problems using MATLAB Chapter 4 Transfer Function and State-Space Models 4.1 Introduction to Transfer Function Models 4.2 Properties of Transfer Functions 4.3 Linearization of Nonlinear Models 4.4 State-Space and Transfer Function Matrix Models 4.5 Poles and Zeros and Their Effect on Process Response 4.6 Converting One Form of Model to Another using MATLAB Chapter 5 Dynamic Behavior of First-Order and Second-Order Processes 5.1 Standard Process Inputs 5.2 Zero-Order Systems (Instantaneous Processes) 5.3 First-Order Processes and Their Characteristics 5.4 Response of First-Order Processes 5.5 Response of First-Order Integrating Processes 5.6 First-Order Processes with Variable Time Constant and Gain 5.7 First-Order Processes with Numerator Dynamics 5.8 Second-Order Processes and Their Types 5.9 Response of Second-Order Processes 5.10 Second-Order Processes with Numerator Dynamics 5.11 Determining Step Response Characteristics using MATLAB Chapter 6 Dynamic Behavior of Higher-Order Processes 6.1 Processes with Time Delays 6.2 Approximation of Higher-Order Transfer Functions 6.3 Interacting and Noninteracting Processes 6.4 Multiple-Input, Multiple-Output (MIMO) Processes 6.5 Fitting First- and Second-Order Models Using Step Tests Part Three: Classical Feedback Control Chapter 7 Feedback Controllers 7.1 Introduction 7.2 Basic Control Modes 7.3 Features of PID Controllers 7.4 Digital Versions of PID Controllers 7.5 Typical Responses of Feedback Control Systems 7.6 On-Off Controllers 7.7 SIMULINK Model for a Feedback Control System Chapter 8 Control System Instrumentation 8.1 Sensors, Transmitters, and Transducers 8.2 Final Control Elements 8.3 Accuracy in Instrumentation 8.4 Piping and Instrumentation Diagrams (P&ID) Chapter 9 Dynamic Behavior and Stability of Closed-Loop Control Systems 9.1 Block Diagram Representation 9.2 Closed-Loop Transfer Functions 9.3 Closed-Loop Responses of Simple Control Systems 9.4 Stability of Closed-Loop Control Systems 9.5 Root Locus Diagrams 9.6 Rules for Drawing Root Locus Diagram 9.7 Generating Root Locus Diagram using MATLAB Chapter 10 Frequency Response Analysis and Control System Design 10.1 Sinusoidal Forcing of A First-order Process 10.2 Sinusoidal Forcing of an nth-Order Process 10.3 Bode Diagrams 10.4 Frequency Response Characteristics of Feedback Controllers 10.5 Nyquist Diagrams 10.6 Bode Stability Criterion 10.7 Controller Design Based on Bode Stability Criterion 10.8 Gain and Phase Margins Chapter 11 PID Controller Design, Tuning, and Troubleshooting 11.1 Performance Criteria For Closed-Loop Systems 11.2 Model-Based Design Methods 11.3 Controller Tuning Relations 11.4 Controllers With Two Degrees of Freedom 11.5 Controller Tuning Based On Simple Performance Criterion (One-Quarter Decay Ratio) 11.6 On-Line Controller Tuning 11.7 Guidelines For Common Control Loops 11.8 Troubleshooting Control Loops Part Four: Advanced Process Control Chapter 12 Enhanced Single-Loop Control Strategies 12.1 Feedforward Control 12.2 Ratio Control 12.3 Cascade Control 12.4 Time-Delay Compensation 12.5 Inferential Control 12.6 Selective Control Systems 12.7 Nonlinear Control Systems 12.8 Adaptive Control Systems Chapter 13 Digital Sampling, Filtering, and Control 13.1 Components of Digital Computer Control Loop 13.2 Continuous To Discrete Transformation 13.3 Signal Processing and Data Filtering 13.4 Discrete to Continuous Transformation 13.5 z-Transform Analysis For Digital Control 13.6 Tuning of Digital PID Controllers 13.7 Direct Synthesis for Design of Digital Controllers 13.8 Minimum Variance Control Chapter 14 Multiloop and Multivariable Control 14.1 Process Interactions and Control Loop Interactions 14.2 Pairing of Controlled and Manipulated Variables 14.3 Singular Value Analysis 14.4 Tuning of Multiloop PID Control Systems 14.5 Decoupling and Multivariable Control Strategies 14.6 Strategies for Reducing Control Loop Interactions Chapter 15 Model Predictive Control 15.1 Overview of Model Predictive Control 15.2 Predictions for SISO Models 15.3 Predictions for MIMO Models 15.4 Model Predictive Control Calculations 15.5 Set-Point Calculations 15.6 Selection of Design and Tuning Parameters 15.7 Implementation of MPC Chapter 16 Development of Empirical Models from Process Data 16.1 Model Development Using Linear or Nonlinear Regression 16.2 Neural Network Models 16.3 Development of Discrete-Time Dynamic Models 16.4 Identifying Discrete-Time Models from Experimental Data Chapter 17 Process Monitoring 17.1 Traditional Monitoring Techniques 17.2 Quality Control Charts 17.3 Extensions of Statistical Process Control 17.4 Multivariate Statistical Techniques 17.5 Control Performance Monitoring Chapter 18 Batch Process Control 18.1 Batch Control Systems 18.2 Sequential and Logic Control 18.3 Control During the Batch 18.4 Run-to-Run Control 18.5 Batch Production Management Chapter 19 Digital Process Control Systems: Hardware and Software 19.1 Distributed Digital Control Systems 19.2 Analog and Digital Signals and Data Transfer 19.3 Microprocessors and Digital Hardware in Process Control 19.4 Software Organization Summary References Exercises Multiple Choice Questions Answer Key Appendix A: Review of Thermodynamic Concepts for Conservation Equations A.1 Single-Component Systems A.2 Multicomponent Systems Appendix B: Control Simulation Software B.1 MATLAB Operations and Equation Solving B.1.1 Matrix Operations B.1.2 Solution of Algebraic Linear or Nonlinear Equations B.1.3 m-files B.1.4 Functions and Scripts B.1.5 Solving a System of Differential Equations B.1.6 Plots B.1.7 MATLAB Toolboxes B.2 Computer Simulation with Simulink B.3 Computer Simulation with LabVIEW Appendix C: Process Control Modules C.1 Introduction C.2 Module Organization C.3 Hardware and Software Requirements C.4 Installation C.5 Running the Software Appendix D: Review of Basic Concepts From Probability and Statistics D.1 Probability Concepts D.2 Means and Variances D.2.1 Means and Variances for Probability Distributions D.2.2 Means and Variances for Experimental Data D.3 Standard Normal Distribution D.4 Error Analysis Appendix E: Process Safety and Process Control E.1 Layers of Protection E.1.1 The Role of the Basic Process Control System E.1.2 Process Alarms E.1.3 Safety Instrumented System (SIS) E.1.4 Interlocks and Emergency Shutdown Systems E.2 Alarm Management E.2.1 Alarm Guidelines E.2.2 Alarm Rationalization E.3 Abnormal Event Detection E.3.1 Fault Detection Based on Sensor and Signal Analysis E.3.2 Model-Based Methods E.3.3 Knowledge-Based Methods E.4 Risk Assessment E.4.1 Reliability Concepts E.4.2 Overall Failure Rates E.4.3 Fault and Event Tree Analysis Appendix F: Real-Time Optimization F.1 Basic Requirements in Real-Time Optimization F.1.1 Implementation of RTO in Computer Control F.1.2 Planning and Scheduling F.2 The Formulation and Solution of RTO Problems F.3 Unconstrained and Constrained Optimization F.3.1 Single-Variable Optimization F.3.2 Multivariable Optimization F.4 Linear Programming F.4.1 Linear Programming Concepts F.5 Quadratic and Nonlinear Programming F.5.1 Quadratic Programming F.5.2 Nonlinear Programming Algorithms and Software Appendix G: Biosystems Control Design G.1 Process Modeling and Control in Pharmaceutical Operations G.1.1 Bioreactors G.1.2 Crystallizers G.1.3 Granulation G.2 Process Modeling and Control for Drug Delivery G.2.1 Type 1 Diabetes G.2.2 Blood Pressure Regulation G.2.3 Cancer Treatment G.2.4 Controlled Treatment for HIV/AIDS G.2.5 Cardiac-Assist Devices G.2.6 Additional Medical Opportunities for Process Control Appendix H: Dynamics and Control of Biological Systems H.1 Systems Biology H.2 Gene Regulatory Control H.2.1 Circadian Clock Network H.3 Signal Transduction Networks H.3.1 Chemotaxis H.3.2 Insulin-Mediated Glucose Uptake H.3.3 Simple Phosphorylation Transduction Cascade Appendix I*: Introduction to Plantwide Control Appendix J*: Plantwide Control System Design Appendix K*: Dynamic Models and Parameters Used for Plantwide Control Chapters Appendix L*: Additional Closed-Loop Frequency Response Material Appendix M*: Contour Mapping and the Principle of the Argument Appendix N*: Partial Fraction Expansions for Repeated and Complex Factors Index
650			_aChemical process control _xData processing _91539
650			_aChemical process control _91500
650			_aChemical process control _xMathematical models _91540
942			_cBK
999			_c859 _d859