Topics

The scope of the conference will cover, but is not limited to the following topics:

Adaptation in Control, Signal & Image Processing

  • Linear and stochastic adaptive control
  • Robust and nonlinear adaptive control
  • Adaptive state observers and estimators
  • Nonlinear design techniques
  • Stability and nonlinear dynamics
  • Adaptive filtering, Fast algorithms
  • Adaptive sensing algorithms
  • Collaborative signal processing
  • Multi-scale and multi-orientation representation
  • Sparse representation
  • Geometry and texture representation

Optimisation Techniques in Control & Signal Processing

  • Convex optimization
  • Nonsmooth analysis
  • Variational analysis
  • Algorithms and guarantees
  • Global optimization

Application fields

  • Aeronautics & aerospace
  • Astronomical applications. Communication systems
  • Medical and Biomedical engineering
  • Speech and audio processing
  • Sonar and radar
  • Robotics. Transportation systems
  • Power & energy systems
  • Industrial processes & manufacturing
  • Networked systems
  • Components and instruments

Machine Learning in Control and Signal Processing

  • Learning theory and algorithms
  • Cognitive information processing
  • Bayesian learning
  • Graphical models and kernel methods
  • Information-theoretic learning
  • Sequential learning
  • Sequential decision methods
  • Neuro-fuzzy modelling and control
  • Knowledge-based Systems
  • Agent-based modelling for control
  • Intelligent learning in control systems
  • Fault detection & diagnostic, fault tolerant control
  • Gain-scheduling control
  • Expert Systems, multi-sensor integration

Identification methods in control and Signal Processing

  • Statistical signal modelling and analysis
  • Detection, estimation
  • Non-Gaussian signals and noise
  • Linear and nonlinear system identification
  • Discrete and sampled data system identification
  • Open and closed-loop system identification
  • Adaptive and optimal parameter estimators
  • Identification methods design and analysis
  • Experiments design
  • Non-stationary statistical signal processing
  • Chaotic and fractal signals and systems
  • Nonlinear signal processing
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