Part I. Mathematical modeling
Parametric identification for robust control
Flow process models for pipeline diagnosis
Output observers for linear infinite-dimensional control systems
Non-Gaussian noise reduction in measurement signal processing
Fractional order models of dynamic systems
Switched models of non-integer order
Part II. Control
Nonlinear predictive control
Positive linear control systems
Controllability and stability of semilinear fractional order systems
Computer simulation in analysis and design of control systems
Part III. Optimization
Optimal Sensor Selection for Estimation of Distributed Parameter Systems
Discrete Optimization in the Industrial Computer Science
Dynamic Programming with Imprecise and Uncertain Information
Part IV. Robotics
Endogenous Configuration Space Approach in Robotics Research
Control of a Mobile Robot Formation Using Artificial Potential Functions
Biologically Inspired Motion Design Approaches for Humanoids and Walking Machines
Robotic System Design Methodology Utilising Embodied Agents
Part V. Computational Intelligence and Decision Support
Fault-Tolerant Control: Analytical and Soft Computing Solutions
Systems Approach in Complex Problems of Decision-Making and Decision-Support
Advanced Ship Control Methods
On-line Diagnostics of Large-Scale Industrial Processes
Applications of Computational Intelligence Methods for Control and Diagnostics
Part VI. Applications
Consequences and Modeling Challenges Connected with Atmospheric Pollution
System with Switchings as Models of Regulatory Modules in Genomic Cell Systems
Modelling and Control of Heat Conduction Processes
Active Suppression of Nonstationary Narrowband Acoustic Disturbances
Methods of Device Noise Control.