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Modeling and simulation of systems using MATLAB and Simulink

Author: Devendra K Chaturvedi
Publisher: Boca Raton ; London ; New York : CRC Press, ©2010.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

Provides coverage of the important aspects of modeling and simulating both physical and conceptual systems. The author presents a step-by-step procedure for modeling using top-down, bottom-up, and  Read more...

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Document Type: Book
All Authors / Contributors: Devendra K Chaturvedi
ISBN: 9781439806722 1439806721 143982035X 9781439820353
OCLC Number: 781035821
Description: XXIII, 709 str. : ilustr. ; 27 cm + 1 optični disk (CD-ROM)
Contents: Introduction to SystemsSystemClassification of SystemsLinear SystemsTime-Varying vs. Time-Invariant Systems Lumped vs. Distributed Parameter SystemsContinuous- and Discrete-Time Systems Deterministic vs. Stochastic Systems Hard and Soft Systems Analysis of Systems Synthesis of Systems Introduction to System Philosophy System Thinking Large and Complex Applied System Engineering: A Generic ModelingSystems ModelingIntroduction Need of System Modeling Modeling Methods for Complex Systems Classification of ModelsCharacteristics of Models ModelingMathematical Modeling of Physical SystemsFormulation of State Space Model of SystemsPhysical Systems Theory System Components and Interconnections Computation of Parameters of a Component Single Port and Multiport Systems Techniques of System Analysis Basics of Linear Graph Theoretic ApproachFormulation of System Model for Conceptual SystemFormulation System Model for Physical SystemsTopological RestrictionsDevelopment of State Model of Degenerative SystemSolution of State Equations Controllability Observability Sensitivity Liapunov Stability Performance Characteristics of Linear Time Invariant Systems Formulation of State Space Model Using Computer Program (SYSMO)Model Order ReductionIntroduction Difference between Model Simplification and Model Order Reduction Need for Model Order Reduction Principle of Model Order Reduction Methods of Model Order ReductionApplications of Reduced-Order ModelsAnalogous of Linear SystemsIntroduction Force-Voltage (f-v) Analogy Force-Current (f-i) AnalogyInterpretive Structural ModelingIntroduction Graph TheoryInterpretive Structural ModelingSystem Dynamics TechniquesIntroduction System Dynamics of Managerial and Socioeconomic SystemTraditional ManagementSources of Information Strength of System Dynamics Experimental Approach to System Analysis System Dynamics Technique Structure of a System Dynamic Model Basic Structure of System Dynamics Models Different Types of Equations Used in System Dynamics Techniques Symbol Used in Flow Diagrams Dynamo Equations Modeling and Simulation of Parachute Deceleration Device Modeling of Heat Generated in a Parachute during Deployment Modeling of Stanchion System of Aircraft Arrester Barrier SystemSimulationIntroduction Advantages of Simulation When to Use Simulations Simulation Provides How Simulations Improve Analysis and Decision Making Applications of Simulation Numerical Methods for SimulationThe Characteristics of Numerical Methods Comparison of Different Numerical Methods Errors during Simulation with Numerical MethodsNonlinear and Chaotic SystemsIntroduction Linear vs. Nonlinear System Types of Nonlinearities Nonlinearities in Flight Control of AircraftConclusions Introduction to Chaotic SystemHistorical Prospective First-Order Continuous-Time System BifurcationsSecond-Order System Third-Order SystemModeling with Artificial Neural NetworkIntroduction Artificial Neural NetworksModeling Using Fuzzy SystemsIntroduction Fuzzy Sets Features of Fuzzy Sets Operations on Fuzzy SetsCharacteristics of Fuzzy SetsProperties of Fuzzy Sets Fuzzy Cartesian Product Fuzzy Relation Approximate Reasoning Defuzzification MethodsIntroduction to Fuzzy Rule-Based Systems Applications of Fuzzy Systems to System ModelingTakagi-Sugeno-Kang Fuzzy Models Adaptive Neuro-Fuzzy Inferencing Systems Steady State DC Machine Model Transient Model of a DC Machine Fuzzy System Applications for Operations ResearchDiscrete-Event Modeling and Simulation Introduction Some Important Definitions Queuing System Discrete-Event System Simulation Components of Discrete-Event System Simulation Input Data Modeling Family of Distributions for Input Data Random Number Generation Chi-Square Test Kolomogrov-Smirnov TestAppendix A: MATLABAppendix B: SimulinkAppendix C: GlossaryIndex
Responsibility: Devendra K. Chaturvedi.

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