Sample Chapters - Control Systems, Robotics and Automation

Control Systems, Robotics, and Automation - Ed. Heinz Unbehauen

Control Systems, Robotics, and Automation

Elements of Control Systems

Basic Elements of Control Systems

General Models of Dynamical Systems

Description of Continuous Linear Time-Invariant Systems in Time-Domain

Description Of Continuous Linear Time-Invariant Systems In Frequency Domain

Closed-loop Behaviour of Continuous Linear Time-Invariant Systems

Stability Concepts

Classical Design Methods for Continuous LTI-Systems

Controller Design in Time-Domain

Design in the Frequency Domain

PID Control

Internal Model Control

Smith Predictor and its Modifications

Digital Control Systems

Discrete-Time, Sampled-Data, Digital Control Systems, and Quantization Effects

Discrete-Time Equivalents to Continuous-Time Systems

Design Methods for Digital Controllers, Sample-Rate

Real-Time Implementation

Design of State Space Controllers (Pole Placement) for SISO Systems

Description and Analysis of Dynamic Systems in State Space

Controller Design

Observer Design

Extended Control Structures

Basic Nonlinear Control Systems

Describing Function Method

Second Order Systems

Stability Theory

Popov and Circle Criterion

Control by Compensation of Nonlinearities

Estimation and Compensation of Nonlinear Perturbation by Disturbance Observers

Anti Windup and Override Control

Gain-Scheduling

Modeling and Simulation of Dynamic Systems

Some Basics in Modeling of Mechatronic Systems

Modeling and Simulation of Distributed Parameter Systems

Modeling and Simulation of Large-Scale Hybrid Systems

Modeling and Simulation of Dynamic Systems using Bond Graphs

Rapid Prototyping for Model, and Controller Implementation

Modeling Languages for Continuous and Discrete Systems

Simulation Software - Development and Trends

Frequency Domain System Identification

Measurements of Frequency Response Functions

Estimation with known Noise Model

Frequency Domain Subspace Algorithms

Estimation with Unknown Noise Model

Modal Analysis

Identification of Linear Systems in Time Domain

Least Squares and Instrumental Variable Methods

Prediction Error Methods

Subspace Identification Methods

Recursive Algorithms

Identification for Control

Continuous-Time Identification

Identifiability of Linear Closed-Loop Systems

Relations between Time Domain and Frequency Domain Prediction Error Methods

Identification of Time Varying Systems

Identification of Nonlinear Systems

Nonparametric System Identification

Identification of Block-Oriented Models

Identification of NARMAX and Related Models

System Identification Using Neural Networks

System Identification Using Fuzzy Models

System Identification Using Wavelets

Parameter Estimation for Differential Equations

Parameter Estimation for NonLinear Continuous-Time State-Space Models from Sampled Data

Identification in the Frequency Domain

Parametric Identification using Sliding Modes

Bound-based Identification

Linear-Model Case

Nonlinear-Model Case

Practical Issues of System Identification

Control of Linear Multivariable Systems

Description and Classification in Mimo Design

Canonical Forms for State Space Descriptions

Multivariable Poles and Zeros

Frequency Domain Representation and Singular Value Decomposition

Polynomial and Matrix Fraction Description

System Characteristics: Stability, Controllability, Observability

Model Reduction

Full-Order State Observers

Reduced-Order State Observers

Kalman Filters

Pole Placement Control

Eigenstructure Assignment for Control

Optimal Linear Quadratic Control

Pontryagin's Maximum Principle

Decoupling Control

Controller Design using Polynomial Matrix Description

Design Techniques in the Frequency Domain

Design Techniques for Time-Varying Systems

Servo Control Design

Robust Control

Uncertainty Models for Robustness Analysis

Robustness Under Real Parameter Uncertainty

H-optimal Control

L1 Robust Control

mu-Synthesis

Controller Design Using Linear Matrix Inequalities

Robust Control of Nonlinear Systems: A Control Lyapunov Function Approach

Fundamentals of the Quantitative Feedback Theory Technique

Adaptive Control

Relay Autotuning of PID Controllers

Self-Tuning Control

Model Reference Adaptive Control

Adaptive Predictive Control

Stochastic Adaptive Control

Adaptive Dual Control

Adaptive Nonlinear Control

Control of Intermittent Processes

Model-based Predictive Control

Model Based Predictive Control for Linear Systems

Nonlinear Model Predictive Control

Controls of Large-Scale Systems

Control of Stochastic Systems

Models of Stochastic Systems

Stochastic Stability

Minimum Variance Control

LQ-stochastic Control

Dynamic Programming

Distributed Parameter Systems: An Overview

Controllability and Observability of Distributed Parameter Systems

Controller Design for Distributed Parameter Systems

State Estimation in Distributed Parameter Systems

Time Delay Systems

Control of 2-D Systems

Generalised Multidimentional Discrete, Contiuous-Discrete and Positive Systems

Controllability and Observability of 2D Systems

Industrial Applications of 2D Control Systems

Stability of 2D Systems

Control of Nonlinear Systems

Analysis of Nonlinear Control Systems

Lie Bracket

Differential Geometric Approach and Application of Computer Algebra

Volterra and Fliess Series Expansion

Lyapunov Stability

Input-output Stability

Controllability and Observability of Nonlinear Systems

Design for Nonlinear Control Systems

Feedback Linearization of Nonlinear Systems

Nonlinear Output Regulation

Nonlinear Zero Dynamics in Control Systems

Flatness Based Design

Lyapunov Design

Sliding Mode Control

Nonlinear Observers

State Reconstruction in Nonlinear Stochastic Systems by Extended Kalman Filter

Passivity Based Control

Control of Chaos and Bifurcations

Control of Bifurcations

Analysis of Chaotic Systems

Control of Chaotic Systems

Fuzzy Control Systems

Data-Based Fuzzy Modeling

Optimization of Fuzzy Controllers

Analysis and Stability of Fuzzy Systems

Fuzzy System Applications

Neural Control Systems

Expert Control Systems

Expert Control Systems: An Introduction with Case Studies

Knowledge-Based and Learning Control Systems

Fuzzy Expert Control Systems: Knowledge Base Validation

Blackboard Architecture for Intelligent Control

Genetic Algorithms in Control Systems Engineering

Discrete Event Systems

Modeling of Discrete Event Systems

Supervisory Control of Discrete Event Systems

Sample Path Analysis of Discrete Event Dynamic Systems (DEDS)

Hybrid Control Systems

Modeling of Hybrid Systems

Well-posedness of Hybrid Systems

Stability of Hybrid Systems

Bisimulations of Discrete, Continuous, and Hybrid Systems

Optimal Control of Hybrid Systems

Verification of Hybrid Systems

Stabilization through Hybrid Systems

Case Study : Air Traffic Management Systems

Architectures and Methods for Computer-based Automation

Supervisory Distributed Computer Control Systems

Fault Diagnosis and Fault-tolerant Control

Fault Diagnosis for Linear Systems

Fault Diagnosis for Nonlinear Systems

Design Methods for Robust Fault Diagnosis

Qualitative Methods for Fault Diagnosis

Statistical Methods for Change Detection

Industrial Applications of Fault Diagnosis

Off-Line Methods for Fault Diagnosis and Inspection

Experience with Knowledge-Based Systems for Maintenance Diagnosis

Fault Tolerant Systems

Fault-Tolerant Control Using LMI Design

Structural Analysis for Fault Detection and Isolation and for Fault Tolerant Control

Fault Accomodation Using Model Predictive Methods

Control Reconfiguration

Adaptive and Neural Approaches to Fault-tolerant Control

Automation and Control of Thermal Processes

Steam Generators and Steam Distribution Networks

Automation and Control of HVAC Systems

Automation and Control of Electrical Power Generation and Transmission Systems

Control of Synchronous Generators

Gas Turbines

Automation and Control of Electric Power Generation and Distribution Systems: Steam Turbines

Automatic Control for Hydroelectric Power Plants

Electrical Network Control

Combined Cycle and Combined Heat and Power Processes

Control of Large Nuclear Reactors by State and Output Feedback Techniques

Automation and Control in Process Industries

Automation and Control in Iron and Steel Industries

Automation and Control of Chemical and Petrochemical Plants

Automation and Control in Cement Industries

Automation and Control of Pulp and Paper Processes

Automation in Wastewater Treatment

Modeling and Control of Complex River and Water Reservoir Systems

Automation and Control in Production Processes

Automation and Control in Food Production

Machine Tool

Welding

Automation and Control in Electronic Industries

Advanced Technologies and Automation in Agriculture

Automation in Fisheries and Aquaculture Technology

Automation and Control in Traffic Systems

Automotive Control Systems

Intelligent Control of Road Vehicles for Automated Driving: Path Architecture for Automated Highway Systems and Lateral Guidance

Ship Steering

Control for Railway Vehicles

Train and Railway Operations Control

Aerospace

Elements of Automation and Control

Sensors in Control Systems

Self-Sensing Solid-State Actuators

Bus Systems

Programmable Logic Controllers

Computer-Aided Control System Engineering Tools

Human-Machine Interaction

Control of Electrical Machines for Drives

Robotics

Robot Kinematics and Dynamics

Trajectory and Task Planning

Robot Control and Programming

Intelligent Robots

Robotic Applications to Life Support Systems

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