Particle methods for change detection, system identification, and control

[Communications and Control Engineering]

[Communications and Control Engineering] Subspace Methods for System Identification || Identification of Closed-loop System

✍ Katayama, Tohru 📂 Article 📅 2005 🏛 Springer London 🌐 English ⚖ 781 KB

An in-depth introduction to subspace methods for system identification in discrete-time linear systems thoroughly augmented with advanced and novel results, this text is structured into three parts. Part I deals with the mathematical preliminaries: numerical linear algebra; system theory; stochastic

System identification and control using

System identification and control using adaptive particle swarm optimization

✍ Alireza Alfi; Hamidreza Modares 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 734 KB

[Communications and Control Engineering]

[Communications and Control Engineering] Subspace Methods for System Identification || Subspace Identification (2) — CCA

✍ Katayama, Tohru 📂 Article 📅 2005 🏛 Springer London 🌐 English ⚖ 939 KB

An in-depth introduction to subspace methods for system identification in discrete-time linear systems thoroughly augmented with advanced and novel results, this text is structured into three parts. Part I deals with the mathematical preliminaries: numerical linear algebra; system theory; stochastic

[Communications and Control Engineering]

[Communications and Control Engineering] Subspace Methods for System Identification || Stochastic Processes

✍ Katayama, Tohru 📂 Article 📅 2005 🏛 Springer London 🌐 English ⚖ 478 KB

An in-depth introduction to subspace methods for system identification in discrete-time linear systems thoroughly augmented with advanced and novel results, this text is structured into three parts. Part I deals with the mathematical preliminaries: numerical linear algebra; system theory; stochastic

[Communications and Control Engineering]

[Communications and Control Engineering] Subspace Methods for System Identification || Kalman Filter

✍ Katayama, Tohru 📂 Article 📅 2005 🏛 Springer London 🌐 English ⚖ 433 KB

An in-depth introduction to subspace methods for system identification in discrete-time linear systems thoroughly augmented with advanced and novel results, this text is structured into three parts. Part I deals with the mathematical preliminaries: numerical linear algebra; system theory; stochastic

Language identification of controlled sy

Language identification of controlled systems: modeling, control, and anomaly detection

✍ Martins, J.F.; Dente, J.A.; Pires, A.J.; Vilela Mendes, R. 📂 Article 📅 2001 🏛 IEEE 🌐 English ⚖ 350 KB