LEADER 16076nam 2200553 450 001 9910555092903321 005 20240219172110.0 010 $a1-119-46937-6 010 $a1-119-46940-6 010 $a1-119-46941-4 024 7 $a10.1002/9781119469414 035 $a(CKB)4100000010465518 035 $a(MiAaPQ)EBC6119413 035 $a(CaBNVSL)mat09028308 035 $a(IDAMS)0b0000648c144db2 035 $a(IEEE)9028308 035 $a(OCoLC)1141944483 035 $a(EXLCZ)994100000010465518 100 $a20200429d2020 uy 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPID control system design and automatic tuning using MATLAB/Simulink /$fLiuping Wang 210 1$aHoboken, New Jersey$cWiley-IEEE Press,$d2020. 210 2$a[Piscataqay, New Jersey] :$cIEEE Xplore,$d[2020] 215 $a1 online resource (369 pages) 311 $a1-119-46934-1 320 $aIncludes bibliographical references and index. 327 $aPreface xv -- Acknowledgment xvii -- List of Symbols and Acronyms xix -- About the Companion Website xxi -- 1 Basics of PID Control 1 -- 1.1 Introduction 1 -- 1.2 PID Controller Structure 1 -- 1.2.1 Proportional Controller 1 -- 1.2.2 Proportional Plus Derivative Controller 3 -- 1.2.3 Proportional Plus Integral Controller 5 -- 1.2.4 PID Controllers 9 -- 1.2.5 The Commercial PID Controller Structure 12 -- 1.2.6 Food for Thought 13 -- 1.3 Classical Tuning Rules for PID Controllers 13 -- 1.3.1 Ziegler?o?Nichols Oscillation Based Tuning Rules 13 -- 1.3.2 Tuning Rules based on the First Order Plus Delay Model 15 -- 1.3.3 Food for Thought 17 -- 1.4 Model Based PID Controller Tuning Rules 18 -- 1.4.1 IMC-PID Controller Tuning Rules 18 -- 1.4.2 Padula and Visioli Tuning Rules 19 -- 1.4.3 Wang and Cluett Tuning Rules 20 -- 1.4.4 Food for Thought 21 -- 1.5 Examples for Evaluations of the Tuning Rules 21 -- 1.5.1 Examples for Evaluating the Tuning Rules 21 -- 1.5.2 Fired Heater Control Example 25 -- 1.6 Summary 27 -- 1.7 Further Reading 28 -- Problems 28 -- 2 Closed-loop Performance and Stability 31 -- 2.1 Introduction 31 -- 2.2 Routh?o?Hurwitz Stability Criterion 31 -- 2.2.1 Determining Closed-loop Poles 32 -- 2.2.2 Routh?o?Hurwitz Stability Criterion 33 -- 2.2.3 Food for Thought 36 -- 2.3 Nyquist Stability Criterion 36 -- 2.3.1 Nyquist Diagram 36 -- 2.3.1.1 Gain Margin 38 -- 2.3.1.2 Phase Margin 38 -- 2.3.1.3 Delay Margin 38 -- 2.3.2 Rework of Tuning Rules based PID Controllers 40 -- 2.3.3 Food for Thought 42 -- 2.4 Control System Structures and Sensitivity Functions 42 -- 2.4.1 One Degree of Freedom Control System Structure 43 -- 2.4.2 Two Degrees of Freedom Design 44 -- 2.4.2.1 Two degrees of freedom implementation of PI controllers 45 -- 2.4.3 Sensitivity Functions in Feedback Control 45 -- 2.4.4 Food for Thought 47 -- 2.5 Reference Following and Disturbance Rejection 47 -- 2.5.1 Closed-loop Bandwidth 47 -- 2.5.2 Reference Following and Disturbance Rejection with PID Controllers 50. 327 $a2.5.3 Reference Following and Disturbance Rejection with Resonant Controllers 53 -- 2.5.4 Food for Thought 54 -- 2.6 Disturbance Rejection and Noise Attenuation 54 -- 2.6.1 Conflict between Disturbance Rejection and Noise Attenuation 54 -- 2.6.2 PID Controller for Disturbance Rejection and Noise Attenuation 55 -- 2.6.3 Food for Thought 58 -- 2.7 Robust Stability and Robust Performance 59 -- 2.7.1 Modeling Errors 59 -- 2.7.2 Robust Stability 60 -- 2.7.3 Case Study: Robust Control of Polymer Reactor 62 -- 2.7.4 Food for Thought 65 -- 2.8 Summary 65 -- 2.9 Further Reading 67 -- Problems 67 -- 3 Model-Based PID and Resonant Controller Design 71 -- 3.1 Introduction 71 -- 3.2 PI Controller Design 71 -- 3.2.1 Desired Closed-loop Performance Specification 71 -- 3.2.2 Model and Controller Structures 72 -- 3.2.3 Closed-loop Transfer Functions for Different Configurations 75 -- 3.2.4 Food for Thought 77 -- 3.3 Model Based Design for PID Controllers 78 -- 3.3.1 PD Controller Design 78 -- 3.3.2 Analytical Examples for Ideal PID with Pole-zero Cancellation 81 -- 3.3.3 Analytical Examples for PID Controllers with Filters 84 -- 3.3.4 PID Controller Design without Pole?o?Zero Cancellation 92 -- 3.3.5 MATLAB Tutorial on Solution of a PID Controller with Filter 94 -- 3.3.6 Food for Thought 95 -- 3.4 Resonant Controller Design 96 -- 3.4.1 Resonant Controller Design 96 -- 3.4.2 Steady-state Error Analysis 97 -- 3.4.3 Pole?o?Zero Cancellation in the Design of a Resonant Controller 99 -- 3.4.4 Food for Thought 101 -- 3.5 Feedforward Control 102 -- 3.5.1 Basic Ideas about Feedforward Control 102 -- 3.5.2 Three Springs and Double Mass System 103 -- 3.5.3 Food for Thought 108 -- 3.6 Summary 108 -- 3.7 Further Reading 108 -- Problems 109 -- 4 Implementation of PID Controllers 113 -- 4.1 Introduction 113 -- 4.2 Scenario of a PID Controller at work 113 -- 4.3 PID Controller Implementation using the Position Form 114 -- 4.3.1 The Steady-state Information Needed 114 -- 4.3.2 Discretization of a PID Controller 115. 327 $a4.3.3 Food for Thought 116 -- 4.4 PID Controller Implementation using the Velocity Form 117 -- 4.4.1 Discretization of a PI Controller 117 -- 4.4.2 Discretization of a PID Controller using the Velocity Form 119 -- 4.4.3 Improving Accuracy in a Slower Sampling Environment 120 -- 4.4.4 Food for Thought 122 -- 4.5 Anti-windup Implementation using the Position Form 122 -- 4.5.1 Integrator Windup Scenario 122 -- 4.5.2 Anti-windup Mechanisms in the Position Form of PI Controllers 124 -- 4.5.3 Food for Thought 125 -- 4.6 Anti-windup Mechanisms in the Velocity Form 126 -- 4.6.1 Anti-windup Mechanism on the Amplitude of the Control Signal 126 -- 4.6.2 Limits on the Rate of Change of the Control Signal 129 -- 4.6.3 Food for Thought 129 -- 4.7 Tutorial on PID Anti-windup Implementation 130 -- 4.8 Dealing with Other Implementation Issues 133 -- 4.8.1 Plant Start-up 134 -- 4.8.2 Dealing with Quantization Errors in PID Controller Implementation 135 -- 4.9 Summary 136 -- 4.10 Further Reading 137 -- Problems 137 -- 5 Disturbance Observer- Based PID and Resonant Controller 139 -- 5.1 Introduction 139 -- 5.2 Disturbance observer-Based PI Controller 139 -- 5.2.1 Estimation of Disturbance with Control 139 -- 5.2.1.1 Choice of Proportional Controller K1 140 -- 5.2.1.2 Compensation of Steady-state Error 140 -- 5.2.1.3 The closed-loop poles 141 -- 5.2.1.4 Implementation procedure 142 -- 5.2.2 Equivalence to PI controller 143 -- 5.2.3 MATLAB Tutorial for Implementation of a PI Controller via Estimation 144 -- 5.2.4 Examples for Estimator based PI Controllers 145 -- 5.2.5 Food for Thought 148 -- 5.3 Disturbance observer-Based PID Controller 149 -- 5.3.1 Proportional Plus Derivative Control 149 -- 5.3.2 Adding Integral Action 150 -- 5.3.3 Equivalence to a PID Controller 151 -- 5.3.4 MATLAB Tutorial on the Implementation of a disturbance observer-based PID Controller 153 -- 5.3.5 Examples for Disturbance observer-based PID Controller 155 -- 5.3.6 Food for Thought 156 -- 5.4 Disturbance observer-Based Resonant Controller 156. 327 $a5.4.1 Resonant Controller Design 156 -- 5.4.2 Resonant Controller Implementation 158 -- 5.4.3 Equivalence to a Resonant Controller 159 -- 5.4.4 MATLAB Tutorial on Disturbance observer-Based Resonant Controller Implementation 160 -- 5.4.5 Examples for Disturbance observer-Based Resonant Controllers 162 -- 5.4.6 Food for Thought 167 -- 5.5 Multi-frequency Resonant Controller 167 -- 5.5.1 Adding Integral Action to the Resonant Controller 168 -- 5.5.2 Adding More Periodic Components 170 -- 5.5.3 Food for Thought 171 -- 5.6 Summary 172 -- 5.7 Further Reading 172 -- Problems 173 -- 6 PID Control of Nonlinear Systems 179 -- 6.1 Introduction 179 -- 6.2 Linearization of the Nonlinear Model 179 -- 6.2.1 Approximation of a Nonlinear Function 179 -- 6.2.2 Linearization of nonlinear differential equations 181 -- 6.2.3 Case Study: Linearization of the Coupled Tank Model 181 -- 6.2.4 Case Study: Linearization of the Induction Motor Model 184 -- 6.2.5 Food for Thought 186 -- 6.3 Case Study: Ball and Plate Balancing System 187 -- 6.3.1 Dynamics of the Ball and Plate Balancing System 187 -- 6.3.2 Linearization of the Nonlinear Model 188 -- 6.3.3 PID Controller Design 189 -- 6.3.4 Implementation and Experimental Results 190 -- 6.3.4.1 Disturbance Rejection 191 -- 6.3.4.2 Making a Square Movement 192 -- 6.3.4.3 Making a Circle Movement 192 -- 6.3.4.4 Making more Complicated Movements 194 -- 6.3.5 Food for Thought 194 -- 6.4 Gain Scheduled PID Control Systems 194 -- 6.4.1 TheWeighting Parameters 194 -- 6.4.2 Gain Scheduled Implementation using PID Velocity Form 196 -- 6.4.3 Gain Scheduled Implementation using an Estimator Based PID Controller 197 -- 6.4.4 Food for Thought 199 -- 6.5 Summary 199 -- 6.6 Further Reading 199 -- Problems 200 -- 7 Cascade PID Control Systems 203 -- 7.1 Introduction 203 -- 7.2 Design of a Cascade PID Control System 203 -- 7.2.1 Design Steps for a Cascade Control System 203 -- 7.2.2 Simple Design Examples 204 -- 7.2.3 Achieving Closed-loop Performance Invariance (Approximate) in a Cascade Structure 208. 327 $a7.2.4 Food for Thought 209 -- 7.3 Cascade Control System for Input Disturbance Rejection 209 -- 7.3.1 Frequency Characteristics for Disturbance Rejection 210 -- 7.3.2 Simulation Studies 211 -- 7.3.3 Food for Thought 213 -- 7.4 Cascade Control System for Actuator Nonlinearities 214 -- 7.4.1 Cascade Control for Actuator with a Deadzone 214 -- 7.4.2 Cascade Control for Actuators with Quantization Errors 218 -- 7.4.3 Cascade Control for Actuators with Backlash Nonlinearity 221 -- 7.4.4 Food for Thought 227 -- 7.5 Summary 230 -- 7.6 Further Reading 230 -- Problems 231 -- 8 PID Controller Design for Complex Systems 233 -- 8.1 Introduction 233 -- 8.2 PI Controller Design via Gain and Phase Margins 233 -- 8.2.1 PI Controller Design Using Gain Margin and Phase Margin Specifications 233 -- 8.2.2 Design Examples 234 -- 8.2.3 Food for Thought 238 -- 8.3 PID Controller Design using Two Frequency Points 238 -- 8.3.1 Finding the PID Controller Parameters 238 -- 8.3.2 Desired Closed-loop Performance Specification using Two Frequency Points 240 -- 8.3.3 Design Examples 242 -- 8.3.4 MATLAB Tutorial on PID Controller Design Using two Frequency Points 243 -- 8.3.5 PID Controller Design for Beer Filtration Process 245 -- 8.3.6 Food for Thought 248 -- 8.4 PID Controller Design for Integrating Systems 249 -- 8.4.1 The Approximate Model 249 -- 8.4.2 Selection of Desired Closed-loop Performance 250 -- 8.4.3 Normalization of the Parameters and Empirical Rules 251 -- 8.4.4 Gain and Phase Margins 253 -- 8.4.5 Simulation Examples 253 -- 8.4.6 Food for Thought 256 -- 8.5 Summary 256 -- 8.6 Further Reading 257 -- Problems 257 -- 9 Automatic Tuning of PID Controllers 259 -- 9.1 Introduction 259 -- 9.2 Relay Feedback Control 259 -- 9.2.1 Relay Control with Hysteresis 259 -- 9.2.2 Relay Control with Integrator 263 -- 9.2.3 Food for Thought 267 -- 9.3 Estimation of Frequency Response using the Fast Fourier Transform (FFT) 267 -- 9.3.1 FFT Estimation 268 -- 9.3.2 MATLAB Tutorial using the FFT for Estimation 269. 327 $a9.3.3 Monte-Carlo Simulation Studies 270 -- 9.3.4 Food for Thought 272 -- 9.4 Estimation of Frequency Response Using the frequency sampling filter (FSF) 273 -- 9.4.1 Frequency Sampling FilterModel 273 -- 9.4.2 MATLAB Tutorial on Estimation Using the FSF Model 276 -- 9.4.3 Monte-Carlo Simulation using the FSF Estimation 278 -- 9.4.4 Food for Thought 279 -- 9.5 Monte-Carlo Simulation Studies 279 -- 9.5.1 Effect of Unknown Constant Disturbance 279 -- 9.5.2 Effect of Unknown Low Frequency Disturbance 280 -- 9.5.3 Estimation of the Steady-state Value 282 -- 9.5.4 Food for Thought 283 -- 9.6 Auto-tuner Design for Stable Plant 283 -- 9.6.1 MATLAB Tutorial on Auto-tuner for Stable Plant 284 -- 9.6.2 Evaluation of the Auto-tuner for a Stable Plant 286 -- 9.6.2.1 PID Controller Parameters 287 -- 9.6.2.2 Nyquist Plots 287 -- 9.6.2.3 Closed-loop Simulation Results 288 -- 9.6.3 Comparative Studies 289 -- 9.6.4 Food for Thought 290 -- 9.7 Auto-tuner Design for a Plant with an Integrator 291 -- 9.7.1 Estimation of an Integrating Plus Delay Model 291 -- 9.7.2 Auto-tuner for Integrating Systems 292 -- 9.7.3 Auto-tuning of Cascade Control Systems 297 -- 9.7.4 Food for Thought 300 -- 9.8 Summary 300 -- 9.9 Further Reading 301 -- Problems 302 -- 10 PID Control of Multi-rotor Unmanned Aerial Vehicles 305 -- 10.1 Introduction 305 -- 10.2 Multi-rotor Dynamics 305 -- 10.2.1 Dynamic Models for Attitude Control 305 -- 10.2.2 Actuator Dynamics for Quadrotor UAVs 307 -- 10.2.3 Actuator Dynamics of Hexacopters 309 -- 10.2.4 Food for Thought 311 -- 10.3 Cascade Attitude Control of Multi-rotor UAVs 311 -- 10.3.1 Linearized Model for the Secondary Plant 312 -- 10.3.2 Linearized Model for the Primary Plant 313 -- 10.3.3 Food for Thought 313 -- 10.4 Automatic Tuning of Attitude Control Systems 313 -- 10.4.1 Test Rigs for Auto-tuning Cascade PI Controllers of Multi-rotor UAVs 314 -- 10.4.2 Experimental Results for Quadrotor UAV 314 -- 10.4.3 Experimental Results for Hexacopter 320 -- 10.4.4 Food for Thought 324. 327 $a10.5 Summary 324 -- 10.6 Further Reading 325 -- Problems 325 -- Suggestions to Food for Thought Questions 327 -- Bibliography 331 -- Index 341. 330 $aCovers PID control systems from the very basics to the advanced topics This book covers the design, implementation and automatic tuning of PID control systems with operational constraints. It provides students, researchers, and industrial practitioners with everything they need to know about PID control systems'from classical tuning rules and model-based design to constraints, automatic tuning, cascade control, and gain scheduled control.' PID Control System Design and Automatic Tuning using MATLAB/Simulink introduces PID control system structures, sensitivity analysis, PID control design, implementation with constraints, disturbance observer-based PID control, gain scheduled PID control systems, cascade PID control systems, PID control design for complex systems, automatic tuning and applications of PID control to unmanned aerial vehicles. It also presents resonant control systems relevant to many engineering applications. The implementation of PID control and resonant control highlights how to deal with operational constraints. Provides unique coverage of PID Control of unmanned aerial vehicles (UAVs), including mathematical models of multi-rotor UAVs, control strategies of UAVs, and automatic tuning of PID controllers for UAVs -Provides detailed descriptions of automatic tuning of PID control systems, including relay feedback control systems, frequency response estimation, Monte-Carlo simulation studies, PID controller design using frequency domain information, and MATLAB/Simulink simulation and implementation programs for automatic tuning -Includes 15 MATLAB/Simulink tutorials, in a step-by-step manner, to illustrate the design, simulation, implementation and automatic tuning of PID control systems -Assists lecturers, teaching assistants, students, and other readers to learn PID control with constraints and apply the control theory to various areas. -Accompanying website includes lecture slides and MATLAB/ Simulink programs PID Control System Design and Automatic Tuning using MATLAB/Simulink is intended for undergraduate electrical, chemical, mechanical, and aerospace engineering students, and will greatly benefit postgraduate students, researchers, and industrial personnel who work with control systems and their applications. ' 606 $aPID controllers 615 0$aPID controllers. 676 $a629.8 700 $aWang$b Liuping$0900387 801 0$bCaBNVSL 801 1$bCaBNVSL 801 2$bCaBNVSL 906 $aBOOK 912 $a9910555092903321 996 $aPID control system design and automatic tuning using MATLAB$92818356 997 $aUNINA LEADER 03976nam 22005655 450 001 9910485014003321 005 20240923210750.0 010 $a9789811606588 010 $a9811606587 024 7 $a10.1007/978-981-16-0658-8 035 $a(CKB)4100000011807241 035 $a(MiAaPQ)EBC6531684 035 $a(Au-PeEL)EBL6531684 035 $a(OCoLC)1246582012 035 $a(DE-He213)978-981-16-0658-8 035 $a(EXLCZ)994100000011807241 100 $a20210326d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNumbers and Narratives in Bangladesh's Economic Development /$fby Rashed Al Mahmud Titumir 205 $a1st ed. 2021. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Palgrave Macmillan,$d2021. 215 $a1 online resource (xxxv, 245 pages) $cillustrations 311 08$a9789811606571 311 08$a9811606579 320 $aIncludes bibliographical references and index. 327 $aChapter 1: ECONOMIC Growth IN BANGLADESH -- Chapter 2: Agriculture IN BANGLADESH -- Chapter 3: Manufacturing Industry OF BANGLADESH -- Chapter 4: Financial Sector OF BANGLADESH -- Chapter 5: Education IN BANGLADESH -- Chapter 6: Health IN BANGLADESH -- Chapter 7: Poverty and Inequality IN BANGLADESH -- Chapter 8: Conclusions: Institutions, Political Settlement and Economic Outcome. 330 $aThis book focuses on socio-economic developments of Bangladesh by challenging the dominant international narrative of the case being termed a "development surprise", "development paradox" or "development conundrum." In doing so, the book examines the political economic dynamics of the country and offers valuable insights into the current state of the Bangladeshi economy in light of stability, transformability and sustainability. Pointing to the 'high' rate of growth in gross domestic product (GDP) in Bangladesh, there is wide belief that economic growth can be obtained even without functioning institutions, and is more important than an inclusive political system. Advocates go on to argue that authoritarianism may be condoned as long as a steady course of development is perused. However, the inadequacy of comparative analysis on the state of the economy of Bangladesh vis-ā-vis other relevant economies makes such claims myopic and parochial. This book thusinvestigates the numbers and narratives to ascertain the validity of such assertions and lamentations by looking at the necessary and sufficient conditions of development. The necessary conditions imply an incisive inquiry into the factors of economic growth: land, labour, capital and technology. As such, the book explores development by drawing variables of politics and economics to find out a causal relationship to themes such as growth, agriculture, manufacturing industry, financial sector, health, education, poverty and inequality. Rashed Al Mahmud Titumir has worked in diverse constituencies, namely, academia, governments, think-tanks, international organisations and media. He has led numerous projects for diverse organisations including governments, development partners and international organisations at home, and abroad. 606 $aDevelopment economics 606 $aEconomic development 606 $aDevelopment Economics 606 $aDevelopment Studies 606 $aEconomic Development, Innovation and Growth 615 0$aDevelopment economics. 615 0$aEconomic development. 615 14$aDevelopment Economics. 615 24$aDevelopment Studies. 615 24$aEconomic Development, Innovation and Growth. 676 $a338.95492 700 $aTitumir$b Rashed A. M.$01230145 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910485014003321 996 $aNumbers and narratives in Bangladesh's economic development$92855497 997 $aUNINA LEADER 04351oam 2200709I 450 001 9910960014403321 005 20251116180903.0 010 $a1-136-33479-3 010 $a0-203-12276-3 010 $a1-299-48100-0 010 $a1-136-33480-7 024 7 $a10.4324/9780203122761 035 $a(CKB)2550000001020407 035 $a(EBL)1172902 035 $a(SSID)ssj0000871598 035 $a(PQKBManifestationID)11474377 035 $a(PQKBTitleCode)TC0000871598 035 $a(PQKBWorkID)10823056 035 $a(PQKB)10880758 035 $a(MiAaPQ)EBC1172902 035 $a(Au-PeEL)EBL1172902 035 $a(CaPaEBR)ebr10690196 035 $a(CaONFJC)MIL479350 035 $a(OCoLC)843636677 035 $a(OCoLC)841793951 035 $a(OCoLC)1108965767 035 $a(FINmELB)ELB135667 035 $a(EXLCZ)992550000001020407 100 $a20180706d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aHandbook on automated essay evaluation $ecurrent applications and new directions /$fedited by Mark D. Shermis, Jill Burstein 205 $a1st ed. 210 1$aNew York :$cRoutledge,$d2013. 215 $a1 online resource (385 p.) 300 $aDescription based upon print version of record. 311 08$a0-415-81096-5 311 08$a1-84872-995-2 320 $aIncludes bibliographical references and index. 327 $aCover; Half Title; Title Page; Copyright Page; Table of Contents; Foreword; Preface; About the Editors; List of Contributors; 1 Introduction to Automated Essay Evaluation; 2 Automated Essay Evaluation and the Teaching of Writing; 3 English as a Second Language Writing and Automated Essay Evaluation; 4 The E-raterŪ Automated Essay Scoring System; 5 Implementation and Applications of the Intelligent Essay Assessor; 6 The IntelliMetricTM Automated Essay Scoring Engine - A Review and an Application to Chinese Essay Scoring; 7 Applications of Automated Essay Evaluation in West Virginia 327 $a8 LightSIDE: Open Source Machine Learning for Text9 Automated Short Answer Scoring: Principles and Prospects; 10 Probable Cause: Developing Warrants for Automated Scoring of Essays; 11 Validity and Reliability of Automated Essay Scoring; 12 Scaling and Norming for Automated Essay Scoring; 13 Human Ratings and Automated Essay Evaluation; 14 Using Automated Scoring to Monitor Reader Performance and Detect Reader Drift in Essay Scoring; 15 Grammatical Error Detection in Automatic Essay Scoring and Feedback; 16 Automated Evaluation of Discourse Coherence Quality in Essay Writing 327 $a17 Automated Sentiment Analysis for Essay Evaluation18 Covering the Construct: An Approach to Automated Essay Scoring Motivated by a Socio-Cognitive Framework for Defining Literacy Skills; 19 Contrasting State-of-the-Art Automated Scoring of Essays; 20 The Policy Turn in Current Education Reform: The Common Core State Standards and Its Linguistic Challenges and Opportunities; Index 330 $aThis comprehensive, interdisciplinary handbook reviews the latest methods and technologies used in automated essay evaluation (AEE) methods and technologies. Highlights include the latest in the evaluation of performance-based writing assessments and recent advances in the teaching of writing, language testing, cognitive psychology, and computational linguistics. This greatly expanded follow-up to Automated Essay Scoring reflects the numerous advances that have taken place in the field since 2003 including automated essay scoring and diagnostic feedback. Each chapter features a commo 606 $aGrading and marking (Students)$xData processing 606 $aEducational tests and measurements$xData processing 606 $aReport writing$xStudy and teaching$xEvaluation 615 0$aGrading and marking (Students)$xData processing. 615 0$aEducational tests and measurements$xData processing. 615 0$aReport writing$xStudy and teaching$xEvaluation. 676 $a371.27/2 701 $aBurstein$b Jill$01874133 701 $aShermis$b Mark D.$f1953-$01874134 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910960014403321 996 $aHandbook on automated essay evaluation$94484504 997 $aUNINA