New scheme for discrete observer design with estimation error covariance assignment

References

• Baromand , S and Khaloozadeh , H . (2007), ‘Covariance Control of Linear Discrete-time Stochastic Systems’, IEEE International Conference Control and Automation (ICCA 2007), Guangzhou, pp. 2664–2668
   Google Scholar
• Baromand , S , Khaloozadeh , H and Rajati , MR . (2007), ‘Output Covariance Tracking as a Disturbance Rejection Problem’, in Proceedings of the 46th IEEE Conference on Decision and Control, New Orleans, USA, pp. 3679–3684
   Google Scholar
• Chang , WJ and Shing , CC . 2005 . Discrete Fuzzy Covariance Control for Specified Decay Rate . International Journal of Systems Science , 46 : 201 – 208 .
   Google Scholar
• Chang , KY , Wang , WJ and Chang , WJ . 1997 . Covariance Control for Stochastic Multivariable Systems with Hysteresis Nonlinearity . International Journal of Systems Science , 28 : 731 – 736 .
   Web of Science ®Google Scholar
• Fujioka , H and Hara , S . 1995 . State Covariance Assignment for Sampled-data Feedback Control Systems . International Journal of Control , 61 : 719 – 737 .
   Web of Science ®Google Scholar
• Gao , ZW , Breikin , T and Wang , H . 2008 . Discrete-time Proportional and Integral Observer and Observer-based Controller for Systems both with Unknown Input and Output Disturbances . Optimal Control Applications and Methods , 29 : 171 – 189 .
   Web of Science ®Google Scholar
• Harris , C , Hong , X and Gan , Q . 2002 . Adaptive Modeling, Estimation and Fusion from Data: A Neurofuzzy Approach , New York : Springer-Verlag .
   Google Scholar
• Hotz , A and Skelton , RE . (1986), ‘Controller Design for Robust Stability and Performance’, in American Control Conference, Seattle, pp. 1813–1817
   Google Scholar
• Hotz , A and Skelton , RE . 1987 . Covariance Control Theory . International Journal of Control , 46 : 13 – 32 .
   Web of Science ®Google Scholar
• Hu , G , Lou , Y and Panagiotis , DC . 2008 . Dynamic Output Feedback Covariance Control of Stochastic Dissipative Partial Differential Equations . Chemical Engineering Science , 63 : 4531 – 4542 .
   Web of Science ®Google Scholar
• Huang , X and Huang , B . 2004 . Multi-loop Decentralized PID Control based on Covariance Control Criteria: An LMI Approach . ISA Transactions , 43 : 49 – 59 .
   PubMedGoogle Scholar
• Iwasaki , T and Skelton , RE . (1993), ‘On the Observer based Structure of Covariance Controllers’, in Proceedings of the 32nd IEEE Conference on Decision and Control, San Antonio, TX, USA, pp. 825–826
   Google Scholar
• H. Khaloozadeh, and Baromand, S. (2010), ‘State Covariance Assignment Problem’, IET Control Theory and Applications, 4(3), 391–402
   Google Scholar
• Ohkubo , K , Yagishita , Y and Katayama , T . (1996), ‘An Analysis of Quantization Errors in Digital Control Systems’, in Proceedings of the IEEE International conference (ICTT’96), China, pp. 61–65
   Google Scholar
• Pradhan , S , Modi , VJ and Bhat , MS . 1996 . Relationship between the Controllability Grammian and Closed-loop Eigenvalues: The Single Input Case . International Journal of Systems Science , 24 : 1133 – 1144 .
   Google Scholar
• Wang , WJ and Chang , KY . 2000 . Variable Structure-based Covariance Assignment for Stochastic Multivariable Model Reference Systems . Automatica , 36 : 141 – 146 .
   Web of Science ®Google Scholar
• Xia , Y , Qiu , J , Zhang , J , Gao , Z and Wang , J . 2008 . Delay-dependent Robust H ∞ Control for Uncertain Stochastic Time-delay System . International Journal of Systems Science , 39 : 1139 – 1152 .
   Web of Science ®Google Scholar
• Yaz , E . (1991), ‘State Covariance Assignment for Discrete Time Systems with Jump Markov Parameters’, in Proceedings of European Control Conference, Grenoble, France, pp. 1147–1151
   Google Scholar
• Yaz , E and Skelton , RE . (1991), ‘Continuous and Discrete State Estimation with Error Covariance Assignment’, in Proceedings of the 30th IEEE Conference on Decision and Control, pp. 3091–3092
   Google Scholar
• Yaz , E , Zhu , C and Skelton , RE . (1992), ‘Observer Design for Discrete-time System using Covariance Assignment’, in Proceedings of the 31st IEEE Conference on Decision and Control, Tucson, AZ, USA, pp. 209–210
   Google Scholar