ICMSC 2011 - International Conference on Modeling, Simulation and Control (ICMSC'11)

Systems Modeling and Automatic Control:
System identification
Optimization in control systems
Optimal control
Adaptive control
Non-linear control
Model Development
Bond Graph Modelling
Statistical and Probabilistic Modelling
Numerical Methods
Mathematical Modelling
System Theory
Dynamic Modelling
3-Dimensional Modelling
Continuous and Discrete Methodology
Simulation
Times Series Analysis
Multi-Paradigm Modelling
Environmental Modelling
Energy and Power Systems Modelling
Biomedical Modelling
Performance Modelling
Hybrid dynamical systems
Petri nets
Hierarchical control
Discrete event systems
Information-based models for control
Distributed control systems
System modeling, simulation and architectures
Cybernetics
Computer and microprocessor-based control
Hierarchical control
Instrumentation networks and software
Field-buses
Real-time systems control
Environmental monitoring and control
Time series and system modeling
Time-frequency analysis
Feature extraction
Information-based models for control
Discrete event systems
Hybrid dynamical systems
System identification
Change detection problems

Control Theory and Applications:
Control Theory
Linear Control
Non-Linear Control
Optimization
Intelligent Control
Adaptive Control
Predictive Control
Fuzzy Control
Stochastic Control
Process Control
PID Control
Robust Control
Variable Structure Control
Discrete Events
Stability
Control using Neural Networks
Computer Control
Distributed Parameter Control Systems

Identification:
Estimation
Filtering
Parametric Identification
Non-Parametric Identification
Structural Identification
Validation

Intelligent Control Structures and Methods:
Next generation intelligent control architectures and methods
Multiagent based planning, control and intelligence
Distributed/decentralized intelligent control
Neural networks, fuzzy logic and genetic algorithms
Swarm intelligence, learning and control
Intelligent control of networked dynamic systems
Intelligent control of wireless ad hoc and sensor networks
Embedded intelligent control
Biological learning control systems
Machine learning
Hybrid dynamical systems control, pattern discovery
Distributed or decentralized control methods
Probabilistic approaches, knowledge-based sensor fusion
Distributed and embedded systems, large scale systems
AI and expert systems, distributed intelligence