Delft Center for Systems and Control Research Report 2005

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• Introduction
  • Overview
  • Address and location
  
  
• Modeling
  • Model reduction of port-Hamiltonian fluid dynamics
  • Nonlinear control systems analysis
  • Relating Lagrangian and Hamiltonian descriptions of electrical circuits
  • Modeling and analysis of hybrid systems
  • Model based optimization of fed-batch bioprocesses
  
  
• System identification
  • Model based monitoring of large scale processes in process industry
  • Towards experiment-based robust control design
  • Identification of hybrid systems
  • Bounding uncertainty in subspace identification
  • Identification of nonlinear state-space systems
  • Development of computationally efficient and numerically robust system identification software
  • Choice of uncertainty structure in identification for robust control
  • Multi-objective nonlinear identification
  • System identification of bio-technological processes
  • Classification of buried objects based on ground penetrating radar signals
  • Identification and control of LPV systems using orthonormal basis functions
  
  
• Controller design
  • Theory and design of robust control systems
  • Efficient analysis and synthesis tools for robust and scheduled controller design against time-varying and dynamic uncertainties
  • Robust model predictive control
  • Robust active control of noise and vibrations
  • On weight adjustment in H control design
  • Discrete-time sliding mode control
  • Multi-agent control of large-scale hybrid systems
  • Model predictive control for discrete-event systems
  • Model predictive control for piece-wise affine systems
  • Model predictive control for hybrid systems
  • Predictive control of nonlinear systems in the process industry
  • Robust and predictive control using neural networks
  • The standard predictive control problem
  • Model-based fault detection and controller reconfiguration for wind turbines
  • Neuro-fuzzy modeling in model-based fault detection, fault isolation and controller reconfiguration
  • Fuzzy control of multivariable processes
  • Affordable digital fly-by-wire flight control systems for small commercial aircraft
  • FDI applied to affordable digital fly-by-wire flight control systems
  • Fuzzy model based control with use of a priori knowledge
  • Analysis and design of nonlinear control systems for switching networks
  • Stabilization of nonlinear RLC circuits: power shaping and passivation
  • Real-time control of smart structures
  
  
• Industrial process control
  • Economic optimal plantwide control
  • Closed-loop model predictive control
  • Model reduction for dynamic optimization of chemical processes
  • Rigorous model-based control strategy for batch crystallizers (CrysCODE)
  • Intelligent adaptive control of bioreactors
  • Artificial intelligence for the control of a hopper dredger
  • Grey-box modeling and plant-wide integrated control of water purification processes
  • Model based optimization of emulsification processes
  • Model predictive control of municipal solid waste plants
  • Model-based optimal process operational strategies in reservoir engineering using quantified model-uncertainty estimates
  
  
• Mechatronics and micro-systems
  • Fixed order controller synthesis for electro-mechanical servo-systems
  • Vibration isolation and suppression applied to mechanical servo-systems
  • Mechatronic redesign for active control of a micro fluid jet system
  • Control of a jumbo container crane (JCC project)
  • X-by-wire
  
  
• Traffic and transportation control
  • Advanced control techniques for optimal adaptive traffic control
  • Optimal traffic control
  • Optimal transfer coordination for railway systems
  • Development of advanced multi-agent control strategies for multi-class traffic networks
  • Validation methodology for fault-tolerant advanced driver assistance systems
  
  
• Physical imaging systems
  • Towards quantitative structure determination through electron microscopy
  • Optimal statistical analysis of functional magnetic resonance data
  • Control for adaptive optics
  
  
• Bibliography
• Contents