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Keywords: stochastic systems
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Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Dyn. Sys., Meas., Control. February 2020, 142(2): 021003.
Paper No: DS-19-1039
Published Online: November 14, 2019
... Trans. Autom. Control , 62 ( 4 ), pp. 1684 – 1699 . 10.1109/TAC.2016.2598474 e-mail:  wm.haddad@aerospace.gatech.edu e-mail:  xu.jin@uky.edu 24 01 2019 30 09 2019 14 11 2019 stochastic systems stochastic control Lyapunov functions asymptotic and finite time...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. March 2012, 134(2): 021018.
Published Online: January 12, 2012
... 12 01 2012 closed loop systems control system synthesis nonlinear control systems optimal control probability stochastic systems uncertain systems The conventional theory of stochastic control is particularly suitable for taking into account randomly varying system parameters...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. January 2012, 134(1): 011011.
Published Online: December 5, 2011
... stable are derived. Finally, two numerical examples are provided to illustrate the effectiveness of the proposed conditions. 29 01 2011 18 09 2011 05 12 2011 05 12 2011 linear matrix inequalities Markov processes nonlinear systems stability stochastic systems...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. May 2011, 133(3): 031009.
Published Online: March 25, 2011
... stability stochastic systems networked control systems (NCSs) generalized predictive control (GPC) time delays packet dropouts Markov chains stochastic stability The study of control systems in which the data between the controller side and the plant side are exchanged via communication...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. September 2010, 132(5): 051005.
Published Online: August 16, 2010
... . 10.1137/S0363012993252309 Pan , Z. G. , and Basar , T. , 1999 , “ Backstepping Controller Design for Nonlinear Stochastic Systems Under a Risk-Sensitive Cost Criterion ,” SIAM J. Control Optim. 0363-0129 , 37 ( 3 ), pp. 957 – 995 . 10.1137/S0363012996307059 Deng , H...
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. May 2007, 129(3): 252–261.
Published Online: October 9, 2006
... uncertain systems linear matrix inequalities stochastic systems continuous time systems fuzzy control closed loop systems suboptimal control Lyapunov methods control system synthesis fuzzy control H ∞ -disturbance attenuation linear matrix inequality (LMI) nonlinear continuous-time systems...
Journal Articles
Publisher: ASME
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. December 2005, 127(4): 663–667.
Published Online: February 21, 2005
.... Compared with the fusion filter weighted by matrices and the centralized filter, it has lower precision when all sensors are faultless, but has reduced computational burden. Simulation researches show the effectiveness. sensor fusion stochastic systems linear systems Kalman filters discrete time...
Journal Articles
Publisher: ASME
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. September 2003, 125(3): 451–454.
Published Online: September 18, 2003
... diagnosis stochastic systems stochastic processes autoregressive processes feedforward neural nets In adaptive threshold methods, the threshold on the difference between the observed and predicted value is varied continuously as a function of time 2 . The method is passive in the sense...
Journal Articles
Publisher: ASME
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. September 2002, 124(3): 353–363.
Published Online: July 23, 2002
... independent mode in every state, an explicit analysis of the entropy and density function can be obtained. The performance of the closure method is supported by employing three stochastic systems with some stationary exact solutions and through Monte Carlo simulations. Contributed by the Dynamic Systems...
Journal Articles
Publisher: ASME
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. December 2001, 123(4): 659–667.
Published Online: February 7, 2001
...Bart Peeters; Guido De Roeck This paper reviews stochastic system identification methods that have been used to estimate the modal parameters of vibrating structures in operational conditions. It is found that many classical input-output methods have an output-only counterpart. For instance...
Journal Articles
Publisher: ASME
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. December 2001, 123(4): 566–571.
Published Online: January 29, 2001
.... identification nonlinear systems linear systems least squares approximations matrix algebra stochastic systems Linear system identification has been extensively studied 1 2 3 4 . However, nonlinear system identification has received less attention. Since most real systems are nonlinear...
Journal Articles
Publisher: ASME
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. September 2000, 122(3): 542–550.
Published Online: January 4, 1999
...Cyril Coumarbatch; Zoran Gajic In this paper we show how to completely and exactly decompose the optimal Kalman filter of stochastic systems in multimodeling form in terms of one pure-slow and two pure-fast, reduced-order, independent, Kalman filters. The reduced-order Kalman filters are all driven...
Journal Articles
Publisher: ASME
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. September 2000, 122(3): 551–559.
Published Online: October 6, 1998
... J i , i = 1 , 2 , … , n y using ( 4.4 ) and form a performance matrix (4.5) J = diag { J 1 , J 2 , … , J n y } linear quadratic Gaussian control control system synthesis Markov processes stochastic systems...