{"product_id":"control-of-biological-and-drug-delivery-systems-for-chemical-biomedical-and-pharmaceutical-engineering-hardback-9780470903230","title":"Control of Biological and Drug-Delivery Systems for Chemical, Biomedical, and Pharmaceutical Engineering (Hardback) 9780470903230","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eControl of Biological and Drug-Delivery Systems for Chemical, Biomedical, and Pharmaceutical Engineering\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\"\u003eLaurent Simon (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780470903230, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 1 February 2013\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e384 pages\u003cbr\u003e23.6 x 16.3 x 2.5 cm, 0.658 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\"This text — featuring examples from the biological sciences, including novel drug-delivery systems — will help students and pharmaceutical researchers to develop a better understanding of process dynamics and control theory, so that they can analyze and solve a variety of problems in bioprocess and drug-delivery systems.\" (\u003ci\u003eChemical Engineering Progress\u003c\/i\u003e, 21 May 2013)\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eEnables readers to apply process dynamics and control theory to solve bioprocess and drug delivery problems\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe control of biological and drug delivery systems is critical to the health of millions of people worldwide. As a result, researchers in systems biology and drug delivery rely on process dynamics and control theory to build our knowledge of cell behavior and to develop more effective therapeutics, controlled release devices, and drug administration protocols to manage disease.\u003c\/p\u003e \u003cp\u003eWritten by a leading expert and educator in the field, this text helps readers develop a deep understanding of process dynamics and control theory in order to analyze and solve a broad range of problems in bioprocess and drug delivery systems. For example, readers will learn how stability criteria can be used to gain new insights into the regulation of biological pathways and lung mechanics. They'll also learn how the concept of a time constant is used to capture the dynamics of diffusive processes. Readers will also master such topics as external disturbances, transfer functions, and input\/output models with the support of the author's clear explanations, as well as:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eDetailed examples from the biological sciences and novel drug delivery technologies\u003c\/li\u003e \u003cli\u003e160 end-of-chapter problems with step-by-step solutions\u003c\/li\u003e \u003cli\u003eDemonstrations of how computational software such as MATLAB and Mathematica solve complex drug delivery problems\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eControl of Biological and Drug-Delivery Systems for Chemical, Biomedical, and Pharmaceutical Engineering\u003c\/i\u003e is written primarily for undergraduate chemical and biomedical engineering students; however, it is also recommended for students and researchers in pharmaceutical engineering, process control, and systems biology. All readers will gain a new perspective on process dynamics and control theory that will enable them to develop new and better technologies and therapeutics to treat human disease.\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\u003eAcknowledgments xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 The Role of Process Dynamics and Control in Branches of Biology 1\u003c\/p\u003e \u003cp\u003e1.2 The Role of Process Dynamics and Control in Drug-Delivery Systems 10\u003c\/p\u003e \u003cp\u003e1.3 Instrumentation 12\u003c\/p\u003e \u003cp\u003e1.4 Summary 18\u003c\/p\u003e \u003cp\u003eProblems 18\u003c\/p\u003e \u003cp\u003eReferences 19\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Mathematical Models 21\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Background 22\u003c\/p\u003e \u003cp\u003e2.2 Dynamics of Bioreactors 27\u003c\/p\u003e \u003cp\u003e2.3 One- and Two-Compartment Models 34\u003c\/p\u003e \u003cp\u003e2.4 Enzyme Kinetics 37\u003c\/p\u003e \u003cp\u003e2.5 Summary 39\u003c\/p\u003e \u003cp\u003eProblems 39\u003c\/p\u003e \u003cp\u003eReferences 41\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Linearization and Deviation Variables 43\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Computer Simulations 43\u003c\/p\u003e \u003cp\u003e3.2 Linearization of Systems 44\u003c\/p\u003e \u003cp\u003e3.3 Glycolytic Oscillation 55\u003c\/p\u003e \u003cp\u003e3.4 Hodgkin–Huxley Model 57\u003c\/p\u003e \u003cp\u003e3.5 Summary 60\u003c\/p\u003e \u003cp\u003eProblems 61\u003c\/p\u003e \u003cp\u003eReferences 63\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Stability Considerations 65\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Definition of Stability 65\u003c\/p\u003e \u003cp\u003e4.2 Steady-State Conditions and Equilibrium Points 79\u003c\/p\u003e \u003cp\u003e4.3 Phase-Plane Diagrams 80\u003c\/p\u003e \u003cp\u003e4.4 Population Kinetics 80\u003c\/p\u003e \u003cp\u003e4.5 Dynamics of Bioreactors 83\u003c\/p\u003e \u003cp\u003e4.6 Glycolytic Oscillation 85\u003c\/p\u003e \u003cp\u003e4.7 Hodgkin–Huxley Model 87\u003c\/p\u003e \u003cp\u003e4.8 Summary 88\u003c\/p\u003e \u003cp\u003eProblems 88\u003c\/p\u003e \u003cp\u003eReferences 91\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Laplace Transforms 93\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Definition of Laplace Transforms 93\u003c\/p\u003e \u003cp\u003e5.2 Properties of Laplace Transforms 95\u003c\/p\u003e \u003cp\u003e5.3 Laplace Transforms of Functions, Derivatives, and Integrals 96\u003c\/p\u003e \u003cp\u003e5.4 Laplace Transforms of Linear Ordinary Differential Equation (ODE) and Partial Differential Equation (PDE) 104\u003c\/p\u003e \u003cp\u003e5.5 Continuous Fermentation 108\u003c\/p\u003e \u003cp\u003e5.6 Two-Compartment Models 110\u003c\/p\u003e \u003cp\u003e5.7 Gene Regulation 111\u003c\/p\u003e \u003cp\u003e5.8 Summary 113\u003c\/p\u003e \u003cp\u003eProblems 113\u003c\/p\u003e \u003cp\u003eReference 115\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Inverse Laplace Transforms 117\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Heaviside Expansions 117\u003c\/p\u003e \u003cp\u003e6.2 Residue Theorem 126\u003c\/p\u003e \u003cp\u003e6.3 Continuous Fermentation 134\u003c\/p\u003e \u003cp\u003e6.4 Degradation of Plasmid DNA 136\u003c\/p\u003e \u003cp\u003e6.5 Constant-Rate Intravenous Infusion 138\u003c\/p\u003e \u003cp\u003e6.6 Transdermal Drug-Delivery Systems 139\u003c\/p\u003e \u003cp\u003e6.7 Summary 146\u003c\/p\u003e \u003cp\u003eProblems 146\u003c\/p\u003e \u003cp\u003eReferences 148\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Transfer Functions 149\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Input–Output Models 149\u003c\/p\u003e \u003cp\u003e7.2 Derivation of Transfer Functions 150\u003c\/p\u003e \u003cp\u003e7.3 One- and Two-Compartment Models: Michaelis–Menten Kinetics 154\u003c\/p\u003e \u003cp\u003e7.4 Controlled-Release Systems 157\u003c\/p\u003e \u003cp\u003e7.5 Summary 158\u003c\/p\u003e \u003cp\u003eProblems 158\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Dynamic Behaviors of Typical Plants 163\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 First-, Second- and Higher-Order Systems 163\u003c\/p\u003e \u003cp\u003e8.2 Reduced-Order Models 167\u003c\/p\u003e \u003cp\u003e8.3 Transcendental Transfer Functions 169\u003c\/p\u003e \u003cp\u003e8.4 Time Responses of Systems with Rational Transfer Functions 171\u003c\/p\u003e \u003cp\u003e8.5 Time Responses of Systems with Transcendental Transfer Functions 190\u003c\/p\u003e \u003cp\u003e8.6 Bone Regeneration 192\u003c\/p\u003e \u003cp\u003e8.7 Nitric Oxide Transport to Pulmonary Arterioles 193\u003c\/p\u003e \u003cp\u003e8.8 Transdermal Drug Delivery 194\u003c\/p\u003e \u003cp\u003e8.9 Summary 194\u003c\/p\u003e \u003cp\u003eProblems 195\u003c\/p\u003e \u003cp\u003eReferences 197\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Closed-loop Responses with P, Pi, and Pid Controllers 199\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Block Diagram of Closed-Loop Systems 200\u003c\/p\u003e \u003cp\u003e9.2 Proportional Control 203\u003c\/p\u003e \u003cp\u003e9.3 PI Control 204\u003c\/p\u003e \u003cp\u003e9.4 PID Control 206\u003c\/p\u003e \u003cp\u003e9.5 Total Sugar Concentration in a Glutamic Acid Production 207\u003c\/p\u003e \u003cp\u003e9.6 Temperature Control of Fermentations 209\u003c\/p\u003e \u003cp\u003e9.7 DO Concentration 213\u003c\/p\u003e \u003cp\u003e9.8 Summary 214\u003c\/p\u003e \u003cp\u003eProblems 215\u003c\/p\u003e \u003cp\u003eReferences 217\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Frequency Response Analysis 219\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Frequency Response for Linear Systems 219\u003c\/p\u003e \u003cp\u003e10.2 Bode Diagrams 227\u003c\/p\u003e \u003cp\u003e10.3 Nyquist Plots 229\u003c\/p\u003e \u003cp\u003e10.4 Transdermal Drug Delivery 232\u003c\/p\u003e \u003cp\u003e10.5 Compartmental Models 236\u003c\/p\u003e \u003cp\u003e10.6 Summary 239\u003c\/p\u003e \u003cp\u003eProblems 239\u003c\/p\u003e \u003cp\u003eReferences 240\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Stability Analysis of Feedback Systems 243\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Routh–Hurwitz Stability Criterion 243\u003c\/p\u003e \u003cp\u003e11.2 Root Locus Analysis 248\u003c\/p\u003e \u003cp\u003e11.3 Bode Stability Criterion 249\u003c\/p\u003e \u003cp\u003e11.4 Nyquist Stability Criterion 254\u003c\/p\u003e \u003cp\u003e11.5 Cheyne–Stokes Respiration 257\u003c\/p\u003e \u003cp\u003e11.6 Regulation of Biological Pathways 262\u003c\/p\u003e \u003cp\u003e11.7 Pupillary Light Reflex 264\u003c\/p\u003e \u003cp\u003e11.8 Summary 265\u003c\/p\u003e \u003cp\u003eProblems 265\u003c\/p\u003e \u003cp\u003eReferences 267\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Design of Feedback Controllers 269\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Tuning Methods for Feedback Controllers 269\u003c\/p\u003e \u003cp\u003e12.2 Regulation of Glycemia 279\u003c\/p\u003e \u003cp\u003e12.3 Dissolved Oxygen Concentration 282\u003c\/p\u003e \u003cp\u003e12.4 Control of Biomass in a Chemostat 284\u003c\/p\u003e \u003cp\u003e12.5 Controlled Infusion of Vasoactive Drugs 285\u003c\/p\u003e \u003cp\u003e12.6 Bone Regeneration 286\u003c\/p\u003e \u003cp\u003e12.7 Fed-Batch Biochemical Processes 288\u003c\/p\u003e \u003cp\u003e12.8 Summary 289\u003c\/p\u003e \u003cp\u003eProblems 289\u003c\/p\u003e \u003cp\u003eReferences 291\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Feedback Control of Dead-time Systems 293\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 Smith Predictor-Based Methods 294\u003c\/p\u003e \u003cp\u003e13.2 Control of Biomass 300\u003c\/p\u003e \u003cp\u003e13.3 Zymomonas mobilis Fermentation for Ethanol Production 302\u003c\/p\u003e \u003cp\u003e13.4 Fed-Batch Cultivation of Acinetobacter calcoaceticus Rag-1 304\u003c\/p\u003e \u003cp\u003e13.5 Regulation of Glycemia 304\u003c\/p\u003e \u003cp\u003e13.6 Summary 306\u003c\/p\u003e \u003cp\u003eProblems 306\u003c\/p\u003e \u003cp\u003eReferences 309\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Cascade and Feedforward Control Strategies 311\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14.1 Cascade Control 311\u003c\/p\u003e \u003cp\u003e14.2 Feedforward Control 317\u003c\/p\u003e \u003cp\u003e14.3 Insulin Infusion 321\u003c\/p\u003e \u003cp\u003e14.4 A Gaze Control System 323\u003c\/p\u003e \u003cp\u003e14.5 Control of pH 326\u003c\/p\u003e \u003cp\u003e14.6 Summary 330\u003c\/p\u003e \u003cp\u003eProblems 331\u003c\/p\u003e \u003cp\u003eReferences 333\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Effective Time Constant 335\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e15.1 Linear Second-Order ODEs 335\u003c\/p\u003e \u003cp\u003e15.2 Sturm–Liouville (SL) Eigenvalue Problems 337\u003c\/p\u003e \u003cp\u003e15.3 Relaxation Time Constant 340\u003c\/p\u003e \u003cp\u003e15.4 Implementation in Mathematica ® 342\u003c\/p\u003e \u003cp\u003e15.5 Controlled-Release Devices 342\u003c\/p\u003e \u003cp\u003e15.6 Summary 343\u003c\/p\u003e \u003cp\u003eProblems 344\u003c\/p\u003e \u003cp\u003eReferences 345\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Optimum Control and Design 347\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e16.1 Orthogonal Collocation Techniques 348\u003c\/p\u003e \u003cp\u003e16.2 Dynamic Programming 350\u003c\/p\u003e \u003cp\u003e16.3 Optimal Control of Drug-Delivery Rates 350\u003c\/p\u003e \u003cp\u003e16.4 Optimal Design of Controlled-Release Devices 351\u003c\/p\u003e \u003cp\u003e16.5 Implementation in Mathematica ® 352\u003c\/p\u003e \u003cp\u003e16.6 Summary 358\u003c\/p\u003e \u003cp\u003eProblems 359\u003c\/p\u003e \u003cp\u003eReferences 360\u003c\/p\u003e \u003cp\u003eIndex 361\u003c\/p\u003e \u003cp\u003ePreface xi\u003c\/p\u003e \u003cp\u003eAcknowledgments xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 The Role of Process Dynamics and Control in Branches of Biology 1\u003c\/p\u003e \u003cp\u003e1.2 The Role of Process Dynamics and Control in Drug-Delivery Systems 10\u003c\/p\u003e \u003cp\u003e1.3 Instrumentation 12\u003c\/p\u003e \u003cp\u003e1.4 Summary 18\u003c\/p\u003e \u003cp\u003eProblems 18\u003c\/p\u003e \u003cp\u003eReferences 19\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Mathematical Models 21\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Background 22\u003c\/p\u003e \u003cp\u003e2.2 Dynamics of Bioreactors 27\u003c\/p\u003e \u003cp\u003e2.3 One- and Two-Compartment Models 34\u003c\/p\u003e \u003cp\u003e2.4 Enzyme Kinetics 37\u003c\/p\u003e \u003cp\u003e2.5 Summary 39\u003c\/p\u003e \u003cp\u003eProblems 39\u003c\/p\u003e \u003cp\u003eReferences 41\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Linearization and Deviation Variables 43\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Computer Simulations 43\u003c\/p\u003e \u003cp\u003e3.2 Linearization of Systems 44\u003c\/p\u003e \u003cp\u003e3.3 Glycolytic Oscillation 55\u003c\/p\u003e \u003cp\u003e3.4 Hodgkin–Huxley Model 57\u003c\/p\u003e \u003cp\u003e3.5 Summary 60\u003c\/p\u003e \u003cp\u003eProblems 61\u003c\/p\u003e \u003cp\u003eReferences 63\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Stability Considerations 65\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Definition of Stability 65\u003c\/p\u003e \u003cp\u003e4.2 Steady-State Conditions and Equilibrium Points 79\u003c\/p\u003e \u003cp\u003e4.3 Phase-Plane Diagrams 80\u003c\/p\u003e \u003cp\u003e4.4 Population Kinetics 80\u003c\/p\u003e \u003cp\u003e4.5 Dynamics of Bioreactors 83\u003c\/p\u003e \u003cp\u003e4.6 Glycolytic Oscillation 85\u003c\/p\u003e \u003cp\u003e4.7 Hodgkin–Huxley Model 87\u003c\/p\u003e \u003cp\u003e4.8 Summary 88\u003c\/p\u003e \u003cp\u003eProblems 88\u003c\/p\u003e \u003cp\u003eReferences 91\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Laplace Transforms 93\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Definition of Laplace Transforms 93\u003c\/p\u003e \u003cp\u003e5.2 Properties of Laplace Transforms 95\u003c\/p\u003e \u003cp\u003e5.3 Laplace Transforms of Functions, Derivatives, and Integrals 96\u003c\/p\u003e \u003cp\u003e5.4 Laplace Transforms of Linear Ordinary Differential Equation (ODE) and Partial Differential Equation (PDE) 104\u003c\/p\u003e \u003cp\u003e5.5 Continuous Fermentation 108\u003c\/p\u003e \u003cp\u003e5.6 Two-Compartment Models 110\u003c\/p\u003e \u003cp\u003e5.7 Gene Regulation 111\u003c\/p\u003e \u003cp\u003e5.8 Summary 113\u003c\/p\u003e \u003cp\u003eProblems 113\u003c\/p\u003e \u003cp\u003eReference 115\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Inverse Laplace Transforms 117\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Heaviside Expansions 117\u003c\/p\u003e \u003cp\u003e6.2 Residue Theorem 126\u003c\/p\u003e \u003cp\u003e6.3 Continuous Fermentation 134\u003c\/p\u003e \u003cp\u003e6.4 Degradation of Plasmid DNA 136\u003c\/p\u003e \u003cp\u003e6.5 Constant-Rate Intravenous Infusion 138\u003c\/p\u003e \u003cp\u003e6.6 Transdermal Drug-Delivery Systems 139\u003c\/p\u003e \u003cp\u003e6.7 Summary 146\u003c\/p\u003e \u003cp\u003eProblems 146\u003c\/p\u003e \u003cp\u003eReferences 148\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Transfer Functions 149\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Input–Output Models 149\u003c\/p\u003e \u003cp\u003e7.2 Derivation of Transfer Functions 150\u003c\/p\u003e \u003cp\u003e7.3 One- and Two-Compartment Models: Michaelis–Menten Kinetics 154\u003c\/p\u003e \u003cp\u003e7.4 Controlled-Release Systems 157\u003c\/p\u003e \u003cp\u003e7.5 Summary 158\u003c\/p\u003e \u003cp\u003eProblems 158\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Dynamic Behaviors of Typical Plants 163\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 First-, Second- and Higher-Order Systems 163\u003c\/p\u003e \u003cp\u003e8.2 Reduced-Order Models 167\u003c\/p\u003e \u003cp\u003e8.3 Transcendental Transfer Functions 169\u003c\/p\u003e \u003cp\u003e8.4 Time Responses of Systems with Rational Transfer Functions 171\u003c\/p\u003e \u003cp\u003e8.5 Time Responses of Systems with Transcendental Transfer Functions 190\u003c\/p\u003e \u003cp\u003e8.6 Bone Regeneration 192\u003c\/p\u003e \u003cp\u003e8.7 Nitric Oxide Transport to Pulmonary Arterioles 193\u003c\/p\u003e \u003cp\u003e8.8 Transdermal Drug Delivery 194\u003c\/p\u003e \u003cp\u003e8.9 Summary 194\u003c\/p\u003e \u003cp\u003eProblems 195\u003c\/p\u003e \u003cp\u003eReferences 197\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Closed-loop Responses with P, Pi, and Pid Controllers 199\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Block Diagram of Closed-Loop Systems 200\u003c\/p\u003e \u003cp\u003e9.2 Proportional Control 203\u003c\/p\u003e \u003cp\u003e9.3 PI Control 204\u003c\/p\u003e \u003cp\u003e9.4 PID Control 206\u003c\/p\u003e \u003cp\u003e9.5 Total Sugar Concentration in a Glutamic Acid Production 207\u003c\/p\u003e \u003cp\u003e9.6 Temperature Control of Fermentations 209\u003c\/p\u003e \u003cp\u003e9.7 DO Concentration 213\u003c\/p\u003e \u003cp\u003e9.8 Summary 214\u003c\/p\u003e \u003cp\u003eProblems 215\u003c\/p\u003e \u003cp\u003eReferences 217\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Frequency Response Analysis 219\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Frequency Response for Linear Systems 219\u003c\/p\u003e \u003cp\u003e10.2 Bode Diagrams 227\u003c\/p\u003e \u003cp\u003e10.3 Nyquist Plots 229\u003c\/p\u003e \u003cp\u003e10.4 Transdermal Drug Delivery 232\u003c\/p\u003e \u003cp\u003e10.5 Compartmental Models 236\u003c\/p\u003e \u003cp\u003e10.6 Summary 239\u003c\/p\u003e \u003cp\u003eProblems 239\u003c\/p\u003e \u003cp\u003eReferences 240\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Stability Analysis of Feedback Systems 243\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Routh–Hurwitz Stability Criterion 243\u003c\/p\u003e \u003cp\u003e11.2 Root Locus Analysis 248\u003c\/p\u003e \u003cp\u003e11.3 Bode Stability Criterion 249\u003c\/p\u003e \u003cp\u003e11.4 Nyquist Stability Criterion 254\u003c\/p\u003e \u003cp\u003e11.5 Cheyne–Stokes Respiration 257\u003c\/p\u003e \u003cp\u003e11.6 Regulation of Biological Pathways 262\u003c\/p\u003e \u003cp\u003e11.7 Pupillary Light Reflex 264\u003c\/p\u003e \u003cp\u003e11.8 Summary 265\u003c\/p\u003e \u003cp\u003eProblems 265\u003c\/p\u003e \u003cp\u003eReferences 267\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Design of Feedback Controllers 269\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Tuning Methods for Feedback Controllers 269\u003c\/p\u003e \u003cp\u003e12.2 Regulation of Glycemia 279\u003c\/p\u003e \u003cp\u003e12.3 Dissolved Oxygen Concentration 282\u003c\/p\u003e \u003cp\u003e12.4 Control of Biomass in a Chemostat 284\u003c\/p\u003e \u003cp\u003e12.5 Controlled Infusion of Vasoactive Drugs 285\u003c\/p\u003e \u003cp\u003e12.6 Bone Regeneration 286\u003c\/p\u003e \u003cp\u003e12.7 Fed-Batch Biochemical Processes 288\u003c\/p\u003e \u003cp\u003e12.8 Summary 289\u003c\/p\u003e \u003cp\u003eProblems 289\u003c\/p\u003e \u003cp\u003eReferences 291\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Feedback Control of Dead-time Systems 293\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 Smith Predictor-Based Methods 294\u003c\/p\u003e \u003cp\u003e13.2 Control of Biomass 300\u003c\/p\u003e \u003cp\u003e13.3 Zymomonas mobilis Fermentation for Ethanol Production 302\u003c\/p\u003e \u003cp\u003e13.4 Fed-Batch Cultivation of Acinetobacter calcoaceticus Rag-1 304\u003c\/p\u003e \u003cp\u003e13.5 Regulation of Glycemia 304\u003c\/p\u003e \u003cp\u003e13.6 Summary 306\u003c\/p\u003e \u003cp\u003eProblems 306\u003c\/p\u003e \u003cp\u003eReferences 309\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Cascade and Feedforward Control Strategies 311\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14.1 Cascade Control 311\u003c\/p\u003e \u003cp\u003e14.2 Feedforward Control 317\u003c\/p\u003e \u003cp\u003e14.3 Insulin Infusion 321\u003c\/p\u003e \u003cp\u003e14.4 A Gaze Control System 323\u003c\/p\u003e \u003cp\u003e14.5 Control of pH 326\u003c\/p\u003e \u003cp\u003e14.6 Summary 330\u003c\/p\u003e \u003cp\u003eProblems 331\u003c\/p\u003e \u003cp\u003eReferences 333\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Effective Time Constant 335\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e15.1 Linear Second-Order ODEs 335\u003c\/p\u003e \u003cp\u003e15.2 Sturm–Liouville (SL) Eigenvalue Problems 337\u003c\/p\u003e \u003cp\u003e15.3 Relaxation Time Constant 340\u003c\/p\u003e \u003cp\u003e15.4 Implementation in Mathematica ® 342\u003c\/p\u003e \u003cp\u003e15.5 Controlled-Release Devices 342\u003c\/p\u003e \u003cp\u003e15.6 Summary 343\u003c\/p\u003e \u003cp\u003eProblems 344\u003c\/p\u003e \u003cp\u003eReferences 345\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Optimum Control and Design 347\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e16.1 Orthogonal Collocation Techniques 348\u003c\/p\u003e \u003cp\u003e16.2 Dynamic Programming 350\u003c\/p\u003e \u003cp\u003e16.3 Optimal Control of Drug-Delivery Rates 350\u003c\/p\u003e \u003cp\u003e16.4 Optimal Design of Controlled-Release Devices 351\u003c\/p\u003e \u003cp\u003e16.5 Implementation in Mathematica ® 352\u003c\/p\u003e \u003cp\u003e16.6 Summary 358\u003c\/p\u003e \u003cp\u003eProblems 359\u003c\/p\u003e \u003cp\u003eReferences 360\u003c\/p\u003e \u003cp\u003eIndex 361\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Chemistry [\u003ca title=\"See our other books on Chemistry\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Chemistry%20%5BPN%5D%22\"\u003ePN\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand 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