Model-Free Optimal Control using SPSA with Complex Variables
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[1] Woon-Seng Gan,et al. Rapid Communication On the use of an SPSA-based model-free feedback controller in active noise control for periodic disturbances in a duct , 2008 .
[2] J. Spall,et al. Model-free control of nonlinear stochastic systems with discrete-time measurements , 1998, IEEE Trans. Autom. Control..
[3] George Trapp,et al. Using Complex Variables to Estimate Derivatives of Real Functions , 1998, SIAM Rev..
[4] Bengt Fornberg,et al. Numerical Differentiation of Analytic Functions , 1981, TOMS.
[5] Hong Chen,et al. Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its application to dynamical systems , 1995, IEEE Trans. Neural Networks.
[6] F. Girosi,et al. Networks for approximation and learning , 1990, Proc. IEEE.
[7] Shun-ichi Azuma,et al. Performance analysis of model-free PID tuning of MIMO systems based on simultaneous perturbation stochastic approximation , 2014, Expert Syst. Appl..
[8] James C. Spall,et al. A one-measurement form of simultaneous perturbation stochastic approximation , 1997, Autom..
[9] A Orman,et al. Optimization of Stochastic Models: The Interface Between Simulation and Optimization , 2012, J. Oper. Res. Soc..
[10] Ding-Xuan Zhou,et al. Universality of Deep Convolutional Neural Networks , 2018, Applied and Computational Harmonic Analysis.
[11] Engin Yaz,et al. A control scheme for a class of discrete nonlinear stochastic systems , 1987 .
[12] Huai-Ning Wu,et al. Policy Gradient Adaptive Dynamic Programming for Data-Based Optimal Control , 2017, IEEE Transactions on Cybernetics.
[13] Anastasios Xepapadeas,et al. Modeling Complex Systems , 2010 .
[14] S. Mitter,et al. The conjugate gradient method for optimal control problems , 1967 .
[15] J. Blum. Multidimensional Stochastic Approximation Methods , 1954 .
[16] James C. Spall,et al. Improved SPSA Using Complex Variables with Applications in Optimal Control Problems , 2021, 2021 American Control Conference (ACC).
[17] James J. Buckley,et al. Universal fuzzy controllers , 1992, Autom..
[18] QingHui Yuan. A model free automatic tuning method for a restricted structured controller by using Simultaneous Perturbation Stochastic Approximation (SPSA) , 2008, 2008 American Control Conference.
[19] D.A. Handelman,et al. Theory and development of higher-order CMAC neural networks , 1992, IEEE Control Systems.
[20] Joaquim R. R. A. Martins,et al. THE CONNECTION BETWEEN THE COMPLEX-STEP DERIVATIVE APPROXIMATION AND ALGORITHMIC DIFFERENTIATION , 2001 .
[21] H. Kushner,et al. Stochastic Approximation and Recursive Algorithms and Applications , 2003 .
[22] J. Kiefer,et al. Stochastic Estimation of the Maximum of a Regression Function , 1952 .
[23] J. Spall. Multivariate stochastic approximation using a simultaneous perturbation gradient approximation , 1992 .
[24] Irena Stojkovska,et al. Complex-step derivative approximation in noisy environment , 2018, J. Comput. Appl. Math..
[25] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[26] E. H. Mamdani,et al. Advances in the linguistic synthesis of fuzzy controllers , 1976 .
[27] Joaquim R. R. A. Martins,et al. The complex-step derivative approximation , 2003, TOMS.
[28] Timo O. Reiss,et al. Optimal control of coupled spin dynamics: design of NMR pulse sequences by gradient ascent algorithms. , 2005, Journal of magnetic resonance.