Control-oriented Modelling and Identification

Theory and Practice

• Author(s): Marco Lovera,
• Publisher: Institution of Engineering and Technology
• Pages: 408
• ISBN_10: 1849196141
  ISBN_13: 9781849196147
  
• Language: en
• Categories: Science / Mechanics / Dynamics , Science / System Theory , Technology & Engineering / General , Technology & Engineering / Automation , Technology & Engineering / Electronics / General , Technology & Engineering / Robotics ,

Description:... This comprehensive book covers the state-of-the-art in control-oriented modelling and identification techniques. With contributions from leading researchers in the subject, Control-oriented Modelling and Identification: Theory and practice covers the main methods and tools available to develop advanced mathematical models suitable for control system design, including: object-oriented modelling and simulation; projection-based model reduction techniques; integrated modelling and parameter estimation; identification for robust control of complex systems; subspace-based multi-step predictors for predictive control; closed-loop subspace predictive control; structured nonlinear system identification; and linear fractional LPV model identification from local experiments using an H1-based glocal approach.