Stability, robustness and adaptation: stability issues in fuzzy control, J. Aracil, F. Gordillo; stabilization of nonlinear systems based on fuzzy lyapunov function, K. Tanaka et al.; conditions for non quadratic stabilization of discrete fuzzy models, T.M. Guerra, L. Vermeiren; stability analysis of nonlinear control systems with fuzzy DMC controllers, P. Marusak, P. Tatjewski; conicity and lyapunov stability analysis of reactive navigation with fuzzy perception and fuzzy control, F. Cuesta, A. Ollero; on the robust performance of fuzzy linear systems, J. Bondia, J. Pic ; fuzzy control manoeuvring of tractor-trailer vehicles using lyapunov functions and bifurcation theory; A. Gonz lez-Cantos et al. Applications in process control: using fuzziness for causal diagnosis in engine dyno test benches, S. Boverie et al; linear and fuzzy control for machining process - design and experiments, R.E. Haber et al; gain-scheduled control of a servo pneumatic actuator using Takagi-Sugeno fuzzy models, H. Schulte; multivariable fuzzy control of fedbatch bioreactors, E. Pic -Marco et al. Learning and local models: open-loop fuzzy control - iterative learning, M. Olivares et al; single and multi-objective genetic programming design for B-spline neural networks and neuro-fuzzy systems, C. Cabrita et al; identification for local-model control with fuzzy clustering, J.L. Diez et al; direct inverse control using learning automata, E. Ikonen et al. Structures: neuro and neuro-fuzzy identification for model-based control, A. Fink et al; state space neural networks in non-linear adaptive system identification and control, J. Henriques et al; a comparative analysis of PID methods using fuzzy objective, F. Mesa Varela et al. Applications in robotics: development of an aerial robot toward real applications, M. Sugeno; skills learning in an autonomous mobile robot using continuous reinforcement, M.J.L. Boada, M.A. Salichs; biologically inspired architecture for multisensorial control of robotic systems, J.L. Pedreno-Molina et al; parametric neurocontroller for positioning of a tendon-driven transmission system, J.I. Mulero-Martinez et al. Design methodologies: fuzzy backstepping control technique for mechanical systems, P. Carbonell, Z.-P. Jiang; decentralized decoupled sliding-mode control for two-dimensional inverted pendulum using neuro-fuzzy modelling, M. Farrokhi, A. Ghanbari; centralized and decentralized neural-network sliding-mode robot controller, R. Safaric, K. Jezernik; hybrid state feedback control for T-S-fuzzy systems with nonminimum phase, S.S. Kim, J.Y. Choi; a multivariable neural predictive control algorithm, M. Lawrynczuk, P. Tatjewski. Heuristics: model-based or heuristic-based fuzzy logic controllers? foundations and examples, L. Foulloy et al; biomimicry, mathematics, and physics for control and automation - conflict or harmony, K. Passino.
