Control-oriented Modelling and Identification: Theory and practice
作者: Marco Lovera
出版社: IET,   2015
ISBN: 9781849196147
来源数据库: IET
DOI: 10.1049/PBCE080E
关键词: actuatorsaircraft controlclosed loop systemscontrol system synthesishelicopterslarge-scale systemslinear parameter varying systemsmanipulatorsmotorcyclesnonlinear control systemsparameter estimationpredictive controlreduced order systemsrobust control
原始语种摘要: 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...
全文获取路径: IET 

  • control 控制
  • oriented 定向的
  • practice 实践
  • system 
  • modelling 模型制造
  • predictive 预言
  • identification 辨认
  • advanced 先进的
  • Control 控制
  • parameter 参数