Control Engineering:
System Theory
Active research in system theory, complex systems, adaptive and learning control along with soft computing is carried out in the laboratory, with special emphasis on structural theory and time-varying linear systems, time-delay systems, neural networks and fuzzy computing.
Analysis of system identifiability. New measures for numeric visibility and excitability of model parameters have been defined; these tools have been exploited to construct more robust identification algorithms.
Combination of computability theory with dynamic system theory. It has been shown that any algorithm can be coded as a simple discrete-time nonlinear system. The results from computability theory (undecidability issues, etc.) can thus be extended to analysis of dynamic systems.
Structural analysis of multivariable linear time-vaying differential systems. Pole sets, system zeros, stability and performance.
System theory
Jarmo Alander, Heikki Hyötyniemi, Heikki Koivo, Pauli Sipari, Raimo Ylinen, Kai Zenger
- Polynomial systems
- Time-varying systems
- Non-standard parameterizations
- Identification and identifiability
- Adaptive control
- PID control tuning
- Time-delay and distributed parameter systems
Soft computing methods
Heikki Koivo, Heikki Hyötyniemi, Jarmo Alander
- Neural networks
- Fuzzy systems
- Evolutionary computing / Markov chain analysis
- Bio-influenced computing
- Global optimization methods
Complex systems
- Structure in processes
- Statistical methods
- Artificial intelligence and models of cognition