15th Triennial World Congress of the International Federation of Automatic Control
Barcelona, 21–26 July 2002

Posters of Learning, Stochastic, Fuzzy and Neural Systems

Session Slot: T-Fr-A21

A. CodePaper TitleAuthors  
3eAbsolute Exponential Stability of a Class of Neural NetworksChangyin Sun, Shumin Fei, Kanjian Zhang, Jinde Cao and Chun-Bo Feng
3bPolynomial Design of Controllers for Two - Variable Systems - Practical ImplementationMarek Kubalcik, Vladimir Bobal, Miroslav Maca
3eHybrid Neural Models for Time-Series ForecastingSinha, M., Gupta, M.M. and Nikiforuk, P.N.
3bAutotuning PID Control for Long Time-Delay ProcessesTang Wei; Shi Songjiao; Wang Mengxiao
3dControl of Separatrix-Crossing Motion in Near-Hamiltonian Systems Perturbed by Weak NoiseAgnessa Kovaleva
3eRobust Adaptive NN Control of a Class of Semi-Strict Feedback Nonlinear SystemsS. S. Ge, J. Wang and T. H. Lee
3bOn Fricion Compensation Without Friction ModelMazen ALAMIR
3bGeneral Adaptive Controls for Nonlinearly Parameterized Systems Under Generalized Matching ConditionN.V.Q. Hung, H.D. Tuan, P. Apkarian, T. Narikiyo
3eIntelligent Control Method and Application for Bof Steelmaking ProcessTao Jun Wang Xin Chai Tianyou Xie Shuming
3bModel Reference Parametric Adaptive Iterative Learning ControlH. Yu, M. Deng, T.C. Yang and D.H. Owens
3eDynamical Adaptive Fuzzy Systems:An Application on System IdentificationM. Cerrada, J. Aguilar, E. Colina, A. Titli
3bSingularity-Free Stable Adaptive Control of a Class of Nonlinear Discrete-Time SystemsLeonid S. Zhiteckij
3bAlgorithm of Parameters' Identification of Polyharmonic FunctionA. Bobtsov, A. Lyamin, D. Romasheva
3eFeedback Linearization Using a Minimized Structure Neural NetworkSaman Orafa and M.J.Yazdanpanah
3ePid Autotuning Using Neural Networks and Model Reference Adaptive ControlK. Pirabakaran and V.M. Becerra
3bRobust Ilc Design is Straightforward for Uncertain LTI Systems Satisfying the Robust Performance ConditionA. Tayebi and M.B. Zaremba
3bSmoothing Stability Roughness of Fractal Boundaries Using Reinforcement LearningBurak H. Kaygisiz, Aydan M. Erkmen, Ismet Erkmen
3bAdaptive Stabilization for Non-Controllable Time-Varying Plants by Using MultiestimationSantiago Alonso Quesada and Manuel De La Sen
3dRegulator of Jump Linear System with Time-Multiplied Performance Index: an LMI ApproachE.K.Boukas, and Z.K.Liu
3bAdaptive Vector Quantization for Reinforcement LearningLau, H. Y. K, Mak, K. L and Lee I. S. K.
3bNonlinear Adaptive H Control for Robotic ManipulatorsYoshihiko Miyasato
3bA Nonlinear Transformation Approach to Global Adaptive Output Feedback Control of 3Rd-Order Uncertain Nonlinear SystemsChoon-Ki Ahn, Beom-Soo Kim and Myo-Taeg Lim
3eA Statistical Approximation Learning Method for Simultaneous Recurrent NetworksMasao Sakai, Noriyasu Homma and Kenichi Abe
3eQualitative Analysis of Competitive-Cooperative Cellular Neural Networks with DelayTianguang Chu, Cishen Zhang, Zhaolin Wang
3eInput Variable Selection for Forecasting ModelsManuel R. Arahal, Alfonso Cepeda, Eduardo F. Camacho
3bAdaptive Inverse-Lattice Learning ControlGeorge Nikolakopoulos, Anthony Tzes
3dLinearized Controller Design for the Output Pdfs Using Square Root Based B-Spline ModelsP Kabore, H Baki and H. Wang
3eTraining Neural Networks and Neuro-Fuzzy Systems: A Unified ViewAntonio E. Ruano, Pedro M. Ferreira, C. Cabrita, S. Matos
3dStability of Fault Tolerant Control Systems Driven by Actuators with SaturationMufeed Mahmoud, Jin Jiang, Youmin Zhang