Preface - the book outline.
The
Operating Regime Approach to Nonlinear Modelling and Control
Tor
Arne Johansen, SINTEF, and Roderick
Murray-Smith, Daimler-Benz AG
Fuzzy
Set Methods for Local Modeling and Indetification
R.
Babuska and H.B.
Verbruggen, Delft University of Technology
Modelling
of Electrically Stimulated Muscle
H.
Gollee, University of Glasgow, K.J. Hunt, Daimler-Benz AG, N. Donaldson,
University College London and J. Jarvis, University of Liverpool
Process
Modelling Using the Functional State Approach
Aarne Halme, Arto Visala and Xia-Chang Zhang, Helsinki
University of Technology
Markov
Mixtures of Experts
Marina
Meila, Michael
Jordan, Massachusetts Institute of Technology
Active
Learning with Mixture Models
David
Cohn, and Zoubin
Ghahramani and Michael
Jordan, Massachusetts Institute of Technology
Local
Learning in Local Model Networks
Roderick Murray-Smith,
Daimler-Benz AG and Tor
Arne Johansen, SINTEF
Side-Effects
of Normalising Basis Functions in Local Model Nets
Robert Shorten and Roderick
Murray-Smith, Daimler-Benz AG
The
Composition and Validation of Hetrogeneous Control Laws
B.
Kuipers, University of Texas at Austin and K.
Åström, Lund Insitute of Technology
Laguerre
Local Models
Daniel
Sbarbaro, University of Concepción
Multiple
Model Adaptive Control
Kevin
D. Schott, B.
Wayne Bequette, Rensselaer Polytechnic Institute
H-infinity
Control of Nonlinear Processes Using Multiple Linear Models
A.
Banerjee, Y.
Arkun, Georgia Insitute of Technology, and R. Pearson and B. Ogunnaike,
DuPont
Synthesis
of Fuzzy Control Systems based on Linear Takagi-Sugeno Fuzzy Models
J. Zhao, R. Gorez and V. Wertz, Catholic University of Louvain