Constrained PI Tracking Control for Output Probability Distributions Based on Two-Step Neural Networks
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[1] Naira Hovakimyan,et al. Neural Network Adaptive Control for a Class of Nonlinear Uncertain Dynamical Systems With Asymptotic Stability Guarantees , 2008, IEEE Transactions on Neural Networks.
[2] J. F. Forbes,et al. Control design for first-order processes: shaping the probability density of the process state , 2004 .
[3] Marios M. Polycarpou,et al. High-order neural network structures for identification of dynamical systems , 1995, IEEE Trans. Neural Networks.
[4] Wen Yu,et al. Passivity analysis for dynamic multilayer neuro identifier , 2003 .
[5] Fuwen Yang,et al. Robust H/sub 2/ filtering for a class of systems with stochastic nonlinearities , 2006, IEEE Transactions on Circuits and Systems II: Express Briefs.
[6] Hong Wang,et al. Optimal probability density function control for NARMAX stochastic systems , 2008, Autom..
[7] Hong Wang,et al. Applying observer based FDI techniques to detect faults in dynamic and bounded stochastic distributions , 2000 .
[8] R.V. Patel,et al. Stable identification of nonlinear systems using neural networks: theory and experiments , 2006, IEEE/ASME Transactions on Mechatronics.
[9] George A. Rovithakis. Robust neural adaptive stabilization of unknown systems with measurement noise , 1999, IEEE Trans. Syst. Man Cybern. Part B.
[10] Shengyuan Xu,et al. Delay-Dependent $H_{\infty }$ Control and Filtering for Uncertain Markovian Jump Systems With Time-Varying Delays , 2007, IEEE Transactions on Circuits and Systems I: Regular Papers.
[11] Wen Yu,et al. Stability Analysis of Nonlinear System Identification via Delayed Neural Networks , 2007, IEEE Transactions on Circuits and Systems II: Express Briefs.
[12] Xingyu Wang,et al. Robust $H_{\infty}$ Control for Nonlinear Stochastic Systems: A Sliding-Mode Approach , 2008, IEEE Transactions on Automatic Control.
[13] Hong Wang,et al. Fault detection and diagnosis for general stochastic systems using B-spline expansions and nonlinear filters , 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.
[14] Li-Xin Wang. Stable adaptive fuzzy control of nonlinear systems , 1993, IEEE Trans. Fuzzy Syst..
[15] Lei Guo,et al. Generalized discrete-time PI control of output PDFs using square root B-spline expansion , 2005, Autom..
[16] Hong Wang,et al. Bounded Dynamic Stochastic Systems , 2012 .
[17] Simon Haykin,et al. Neural Networks: A Comprehensive Foundation , 1998 .
[18] K. Åström. Introduction to Stochastic Control Theory , 1970 .
[19] Xuemei Ren,et al. Identification of Nonlinear Systems With Unknown Time Delay Based on Time-Delay Neural Networks , 2007, IEEE Transactions on Neural Networks.
[20] Goutam Chakraborty,et al. Neural-Network-Based Robust Linearization and Compensation Technique for Sensors Under Nonlinear Environmental Influences , 2008, IEEE Transactions on Circuits and Systems I: Regular Papers.
[21] Shouming Zhong,et al. On Stability of Neural Networks by a Lyapunov Functional-Based Approach , 2007, IEEE Transactions on Circuits and Systems I: Regular Papers.
[22] Ahmad B. Rad,et al. Identification and control of continuous-time nonlinear systems via dynamic neural networks , 2003, IEEE Trans. Ind. Electron..
[23] Lei Guo,et al. PID controller design for output PDFs of stochastic systems using linear matrix inequalities , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[24] Donghua Zhou,et al. PDF tracking filter design using hybrid characteristic functions , 2008, 2008 American Control Conference.
[25] Chih-Min Lin,et al. Recurrent-neural-network-based adaptive-backstepping control for induction servomotors , 2005, IEEE Transactions on Industrial Electronics.
[26] Jeen-Shing Wang,et al. A fully automated recurrent neural network for unknown dynamic system identification and control , 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.
[27] Ling Hong,et al. On the feedback control of stochastic systems tracking prespecified probability density functions , 2005 .
[28] Ryozo Katoh,et al. Stable Adaptive Fuzzy Control of Nonlinear Systems with Unknown Backlash-Like Hysteresis , 2001 .
[29] Alejandro Ribeiro,et al. Bandwidth-constrained distributed estimation for wireless sensor networks-part II: unknown probability density function , 2006, IEEE Transactions on Signal Processing.
[30] Kumpati S. Narendra,et al. Identification and control of dynamical systems using neural networks , 1990, IEEE Trans. Neural Networks.
[31] Shuzhi Sam Ge,et al. Adaptive neural control of MIMO nonlinear state time-varying delay systems with unknown dead-zones and gain signs , 2007, Autom..
[32] Zidong Wang,et al. H∞ filtering for uncertain stochastic time-delay systems with sector-bounded nonlinearities , 2008, Autom..
[33] P. P. Vaidyanathan,et al. A multirate DSP model for estimation of discrete probability density functions , 2005, IEEE Transactions on Signal Processing.
[34] Alexander S. Poznyak,et al. New Sliding-Mode Learning Law for Dynamic Neural Network Observer , 2006, IEEE Transactions on Circuits and Systems II: Express Briefs.
[35] Subhash Challa,et al. Nonlinear filter design using Fokker-Planck-Kolmogorov probability density evolutions , 2000, IEEE Trans. Aerosp. Electron. Syst..
[36] Guanrong Chen,et al. Reproducing chaos by variable structure recurrent neural networks , 2004, IEEE Transactions on Neural Networks.
[37] Xiaoou Li,et al. Some new results on system identification with dynamic neural networks , 2001, IEEE Trans. Neural Networks.
[38] Huaguang Zhang,et al. Robust Exponential Stability of Recurrent Neural Networks With Multiple Time-Varying Delays , 2007, IEEE Transactions on Circuits and Systems II: Express Briefs.
[39] Hong Wang,et al. Bounded Dynamic Stochastic Systems: Modelling and Control , 2000 .
[40] Peter J. Gawthrop,et al. Neural networks for control systems - A survey , 1992, Autom..
[41] Jian-Qiao Sun,et al. Non-linear stochastic control via stationary response design , 2003 .