edited by R Zbikowski (Glasgow Univ., Scotland) & K J Hunt (Daimler-Benz AG, Germany)

This book is an outgrowth of the workshop on Neural Adaptive Control Technology, NACT I, held in 1995 in Glasgow. Selected workshop participants were asked to substantially expand and revise their contributions to make them into full papers.

The workshop was organised in connection with a three-year European Union funded Basic Research Project in the ESPRIT framework, called NACT, a collaboration between Daimler-Benz (Germany) and the University of Glasgow (Scotland). A major aim of the NACT project is to develop a systematic engineering procedure for designing neural controllers for nonlinear dynamic systems. The techniques developed are being evaluated on concrete industrial problems from Daimler-Benz.

In the book emphasis is put on development of sound theory of neural adaptive control for nonlinear control systems, but firmly anchored in the engineering context of industrial practice. Therefore the contributors are both renowned academics and practitioners from major industrial users of neurocontrol.

• Neural Adaptive Control Technology:
  • Discrete-Time Neural Model Structures for Continuous Nonlinear Systems: Fundamental Properties and Control Aspects (J C Kalkkuhl & K J Hunt)
  • Continuous-Time Local Model Networks (P J Gawthrop)
  • Nonuniform Sampling Approach to Control Systems Modelling with Feedforward Neural Networks (R (Zbikowski & A Dzielinski)
• Nonlinear Control Fundamentals for Neural Networks:
  • Geometric Methods in Nonlinear Control Theory: A Survey (W Respondek)
  • Local Reachability, Local Controllability and Observability of a Class of 2-D Bilinear Systems (T Kaczorek)
  • Stable Adaptive Control of a General Class of Nonlinear Systems (T A Johansen & M M Polycarpou)
• Neural Techniques and Applications:
  • Robust Adaptive Neurocontrol of MIMO Continuous-Time Processes Based on the e₁-Modification Scheme (J-M Renders & M Saerens)
  • Black-Box Modelling with State-Space Neural Networks (I Rivals & L Personnaz)
  • An Approach to Intelligent Identification and Control of Nonlinear Dynamical Systems (D A Sofge & D L Elliott)
  • The Equivalence of Spline Models and Fuzzy Logic Applied to Model Construction and Interpretation (G T Lines & T Kavli)
  • How to Adapt in Neurocontrol: A Decision for CMAC (W S Mischo)