Feedforward and Feedback Control
Analysis and Design of Feedback Control Systems
Outlook on Some Trends in Future Research and Developments
Mathematical models of dynamical systems
Graphical Description of Systems
Open-loop Control and Closed-loop Control
Principal Functions of Control
The Basic Structure of Control Systems
Description by differential equations
Transfer Function of a Dynamical System
Dynamic behavior of the closed-loop system
Sensitivity of feedback control systems to parameter variations
Time-domain performance specifications
Optimal controller settings subject to the ISE-criterion
Mixed time- and frequency-domain design by standard polynomials
Design of PI and Lag Compensators
The Internal Model Control Structure
Internal Model Control Design Procedure
Application of IMC design to Simple Models
Modification for high order systems
The Basic Structure of Digital Control Systems
Loss of Controllability and Observability due to Sampling
Design of Discrete-Time Control Systems for Continuous-Time Plants
Discrete-Time Equivalents of Continuous-Time Plants
General Remarks on State Space Design
Accompanying Example: Inverted Pendulum on Cart
Extraction of the State Space Representation from the Transfer Function G(s)
Transformation to Diagonal Form
Solution of the State Equations
Objectives and Structure of State Feedback Control
Determination of the pre-compensator g
Objectives and Structure of the State Observer
The Observer in Closed-Loop Control- The Separation Principle
The Sinusoidal Describing Function
Limit Cycles and Their Stability
Plants with Actuator Nonlinearities
Output Feedback Inverse Control
Designs for Unknown Linear Dynamics
Designs for Multivariable Systems
Designs for Nonlinear Dynamics
Classification of Systems and Models
System Representations and Software Tools
Object-oriented Modeling of Physical Systems
Integration of Complex Discrete Event and Object-Oriented Models
Modeling and simulation of dynamic behavior of physical systems
Continuous Roots of Simulation
CSSL Structure in Continuous Simulation
Numerical Algorithms in Simulation Systems
Simulation Software and CACSD Tools
Analysis Methods in Simulation Systems
Implicit Models -Algebraic Loops -Differential-Algebraic Equations
Discrete Elements in Continuous Modeling and Simulation
Hybrid modeling and simulation - Combined Modeling and Simulation
Simulation in Specific Domains
Object-oriented Approaches to Modeling and Simulation
A brief introduction to identification
System Identification: problem statement
Time and frequency domain identification
Selection of an identification scheme
An introduction to the discrete Fourier transform
Spectral representation of periodic signals
Analysis of FRF measurements using periodic excitations
Reducing FRF measurement errors for periodic excitations
FRF measurements using random excitations
FRF measurements of multiple input multiple output systems
Estimation Algorithms - General
Estimation Algorithms - Specific
Illustration and Overview of the Properties
Overview and Illustration of the properties
What Is System Identification?
Recursive Identification Algorithms
Continuous-Time Identification
Deterministic subspace identification
Stochastic subspace identification
Combined deterministic-stochastic subspace identification algorithm
Identification of approximate models
Identification from closed-loop data
Identifiability Conditions for Closed-Loop Systems -A Short Overview
Complete and Partial I/O-Identifiability of Multivariable Closed-Loop Systems
Simple Limited Memory Algorithms
Modeling the Parameter Variations: The Dynamic Transfer Function (DTF) Model
Signal Dependent Parameter Models
Critical Valuation of the Most Important Nonlinear Models
Representation of Nonlinear Systems
Identification of Wiener Kernels
Qualitative behavior of feedforward structures.
Feedback block-oriented structures
Nonlinear Models vs. Linear Models
Practical Implementations of the NARMAX model
Nonlinear Dynamic Models for System Identification
The Hartley Modulating Functions
Formulation of the parameter estimation equation
The Prediction-Error Approach to Parameter Estimation
State-Space Models and State Estimation
Translating SISO concepts into MIMO world
State - Space Representations, Matrix Pencils, and State - Space Transformations
Matrix Pencils and Kronecker Form
Canonical Form under Similarity: Autonomous Descriptions with no outputs
Kronecker Form under the Full State Space Transformation Group
Brunovsky Canonical Forms under Coordinate and Feedback Transformations
System Representations and Classification
Background on Polynomial matrices and Matrix Pencils
Finite Poles and Zeros of State Space Models: Dynamics and their Geometry
Finite Poles and Zeros of Transfer Function Models
Model Reduction by Optimization
The Linear Optimal Estimator in Discrete Time (Kalman Filter)
Definition of Eigenstructure Assignment
Role of the System Eigenstructure
Freedom for Eigenstructure Assignment
Allowable Eigenvector Subspaces
Calculation of Controller Matrices
Assignment of Desired Eigenvectors
Compromise between Eigenvalues and Eigenvectors
Parametric Eigenstructure Assignment
The LQ regulator in continuous time
The steady-state LQ regulator in continuous time
Properties of the steady-state LQ regulator in continuous time
The problem of Optimal Control
A More Rigorous Formulation of the Problem
The Time-Optimal Control Problem
Time-Optimal Control for Linear Systems
Interpretations and generalizations of the Maximum Principle
Polynomial Approach To Three Classical Control Problems
Robustness and Integral Control
A Short History of Control Theory and Robust Control
Feedback Stabilization of Linear Systems
Uncertainty Models and Robustness
Uncertainty representation and robustness problems
Unstructured uncertainty models
Highly structured (parametric) uncertainty models
Real Parameter Stability Margin
Extremal Results in Parametric Robust Control Theory
The Minimum Sensitivity Problem
Robustness and the Sensitivity Functions
Robustness To Signal Uncertainty: The l1 Norm Minimization Problem
Design Specifications and Linear Matrix Inequalities
Controller Design Using Linear Matrix Inequalities
Illustrative Design Example: Robust Control of a Power System Stabilizer
Robust Control Lyapunov Function (RCLF)
The MISO Analog Control Systems
The MISO Discrete Control System
Basic Concepts and Definitions
Identification and Adaptive Control of Higher Order Systems
The Adaptive Control Problem (Relative Degree n*=1)
The Adaptive Control Problem (Relative Degree n* =2)
Multivariable Adaptive Control
Analysis of Relay Autotuning using the DF method
Categorization of Self-Tuning Controllers.
Adaptive Control of Markov Chains
Adaptive Control of ARMAX models
Adaptive Control of Continuous Time Linear Stochastic Systems
The Constrained Open-Loop Optimal Control (COLOC) Problem
Set-Membership Terminal Constraint
Time-Varying Ellipsoidal Terminal Constraint
Models, Disturbances and Robustness
Stability of Stochastic Systems
Estimation of Stochastic Systems
Identification and Parameter Estimation of Stochastic Systems
Control of Partially Observed Systems
Description of stochastic process
Finite dimensional approximations
Stability and Liapunov Functions
LQ Regulation for Discrete Time Plants
Controllability and Stabilizability of PDE Control Systems
Additional Controllability Topics
Additional Distributed Parameter Control Topics; Optimal Control
Introduction : Mathematical Control Systems
Controllability of infinite-dimensional systems
Control problems and control design methods
State space and semigroup approach
Standard models of 2-D linear systems
Solutions to the standard 2-D models
Transfer matrices of 2-D models
Realization problem for 2-D linear systems
Stability and eigenvalue assignment
Controllability and observability
Models of generalised multidimensional linear systems.
2D models for sheet forming systems
2D ARMAX Estimation for Sheet Forming Systems
2D Controller Design for Sheet Forming Systems
Comparison of 2D Control of Sheet Forming Processes with Other Methods
Sensitivity Analysis and Asymptotic Methods
Linearization and Gain Scheduling
Basics of Manifolds and Bundles
Lie Derivatives and the Lie Bracket
Functional representation of nonlinear systems
State-feedback design for global stability
State-feedback design for robust global stability
The problem of feedback linearization
The problem of output regulation
Output regulation in the case of full information
Nonlinear Control System Paradigms
Zero Dynamics in Control Systems
Nonminimum Phase Control Systems: Difficulties and Partial Solutions
Lyapunov Design via Lyapunov Equation
Lyapunov Design for Matched and Unmatched Uncertainties
Property-based Lyapunov Design
Construction of Observers by Linear Approximation
Construction of Observers by Error Linearization
Minimum Energy and H8 Estimation
Bifurcation Control - The New Challenge
Bifurcations in Control Systems
Preliminaries of Bifurcation Theory
State-Feedback Control of Bifurcations
Some Other Bifurcation Control Methods
Controlling Multiple Limit Cycles
Fuzzy Control -A Simple Example
Fuzzy Logic-related Issues in Fuzzy Control
Control Issues in Fuzzy Control
Basic principles of optimisation
Optimal Design of Fuzzy Controllers
Further Tasks in the Analysis of Fuzzy Systems
Neural Network Structures and Properties
Dynamical Systems and Feedback Control
Tracking Control Using Static Neural Networks
Expert systems approach to control system development
Uncertainty management in expert control
A virtual expert system architecture for process control
More on supervisory expert control
An example of supervisory expert control
Outline of Topic D on expert control systems
Knowledge representation in expert control
Knowledge acquisition in expert control
General Concepts of Knowledge-Based and Learning Control Systems
Specific Features of the Knowledge-Based Control Systems
Relational and Logical Knowledge Representation
Statements and Solutions of Control Problems
Learning Processes in Knowledge-Based Control Systems
Fuzzy Expert Control System Methodology
Knowledge in Fuzzy Expert Control Systems
Objectives of Knowledge Validation for Control
Characteristics for Intelligent Control
Development of Blackboard Systems
The Structure of a Blackboard System
Event-driven and Time-driven Systems
Abstraction Levels in the Study of Discrete Event Systems
Control and Optimization of Discrete Event Systems
Control of Fully-Observed Discrete Event Systems
Control of Partially-Observed Discrete Event Systems
Avoiding Deadlock and Livelock
Markov Potential Theory Based Sample Path Sensitivity
What is a Hybrid Control System?
Analysis and Design of Hybrid Control Systems
Well-posedness of Hybrid Automata
Bisimulations of transition systems
A short History of Air Traffic Control
Organization of Air Traffic Control
Definition of some Basic Terms
Degree of Automation and Computer Operation Types
Automation of Technical Products and Technical Plants
The Elements of a Industrial Automation System
Levels of Process Management and Automation Functions
Basic Types of Process Events in Technical Systems
Examples for Industrial Automation Systems
Effects of Industrial Automation on People, Society and Environment
Fault Diagnosis: Basic Definitions and Concepts
Model-free Approaches to Fault Diagnosis
Principles of Model-based Fault Diagnosis
Analytical Methods of Model-based Residual Generation
Knowledge-based Approaches to Model-based Residual Generation
Historical Review of Fault Diagnosis Approaches
Determining appropriate reactions to faults
Analysis based on system structure
Fault-tolerant control based on Diagnosis
Model of the system, faults and uncertainties
Methods of residual generation
Parity space approach to residual generation
Observer-based residual generation
Observer-based residual generation
The need for robustness in FDI
Robust FDI design using unknown input observers
Robust FDI design using eigenstructure assignment
Basic properties of qualitative models
Development Steps in Methodology
Basic Characteristics of Early Fault Detection Methods
Condition Monitoring for Improved Maintenance in Nuclear Power Plants
Condition Monitoring for Improved Maintenance in Other Industries
Control and Fault Tolerant Control
Model Matching and the Pseudo-inverse Method
Optimal Control: the LQ problem
Active Fault-Tolerant control Systems Design Using LMI Design
Fault Diagnostic Observer Design Using LMI Design for Uncertain Systems
Reconfiguration Based on a Qualitative Model
Reconfiguration Based on Model-matching
Observer-based Control Reconfiguration
An Adaptive Approach to Actuator Fault Tolerant Control
A Neural Network Approach to Sensor Fault Tolerant Control
Structures and Technologies of Automation and Control Systems
Laws, Regulations, Guidelines, and Standards
Advanced Control Methods, Signal Processing, and Plant Management Systems.
Stability and Voltage Regulation of Multi-machine Systems
Sequence Control - Startup and Shutdown
Voltage Control of Individual Synchronous Generators
Voltage Control with Electronic Power Converters
Elements of Combined Cycle / Combined Heat and Power Processes
Automatic Control in CC/CHP Plants
On certain Preliminaries on Nuclear Reactor
Process Models and Dynamical Behavior of Processes
Structure of Complex Process Control
Overview of Processes in Integrated Steelworks
Control of Metallurgical Processes
The Chemical and Petrochemical Industries
Overview of Industrial Process Control
Control of Mechanical Pulp Making
Wastewater Treatment Operation
Distributed Computer Systems in Production Automation
Automation and Control of Food Manufacturing Process
Automatic and Control in Electronic Industry
Discrete Event Systems in Manufacturing
Automation in Fisheries and Aquaculture Technology
Advanced Control in Production Engineering
Automation of Food Production on the Processing Oriented Levels
Future Trends in the Automation of Food Production Processes
General Aspects of Automation and Control of Traffic Systems
Global Infrastructure for the Automation of Traffic Systems
Onboard Means for the Automation of Traffic Systems
Machine Vision for Flexible Automation of Traffic Systems
Vehicle Models for Lateral Control
Overview of Railway Vehicle, Vehicle Models and Track Inputs
Information Technology Elements of Automation
Trends in Automation and Control
Sensor Fundamentals and Classifications
Sensor Technology Developments
Measurement and power electronics
Compensation and reconstruction filters
Application example - piezoelectric micropositioning system with one degree of freedom
Mechanism and Components of Robots
Path Planning for Mobile Robots
Trajectory Planning of Robot Manipulators
Intelligent Wheelchair Control
