2020
DOI: 10.1109/access.2020.2981721
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Performance of SIMO Networked Time-Delay Systems With Encoding–Decoding and Quantization Constraints

Abstract: In this paper, the performance of the single-input multiple-output (SIMO) networked timedelay systems is investigated. The performance is related to the internal factors, communication parameters and reference signals, and the boundary is related to the adjustment factors. Some new results are derived according to the inner-outer factorization and Cauchy's Theorem of two degrees-of-freedom controller. The results show that the performance is in connection with the inner factor (unstable poles, non-minimum phas… Show more

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Cited by 13 publications
(2 citation statements)
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“…In the future work, we will further investigate whether these algorithms can be applied to systems with missing data. The iterative algorithm in this paper is proposed for bilinear stochastic systems but the idea can be extended to other linear and nonlinear stochastic systems with colored noises [66][67][68][69][70][71][72][73][74][75] and can be applied to other literatures [76][77][78][79][80][81][82][83] such as signal modeling, pattern cognition, information processing, and engineering application systems.…”
Section: Discussionmentioning
confidence: 99%
“…In the future work, we will further investigate whether these algorithms can be applied to systems with missing data. The iterative algorithm in this paper is proposed for bilinear stochastic systems but the idea can be extended to other linear and nonlinear stochastic systems with colored noises [66][67][68][69][70][71][72][73][74][75] and can be applied to other literatures [76][77][78][79][80][81][82][83] such as signal modeling, pattern cognition, information processing, and engineering application systems.…”
Section: Discussionmentioning
confidence: 99%
“…The simulation results indicate that the proposed 2S-LS-MIESG algorithm can effectively deal with the parameter estimation for the TA B L E 3 The 2S-LS-MIESG parameter estimates and errors (p = 3, 2 = 0.40 2 ) t ExpARMA model and has improved parameter estimation accuracy. The methods in this article can be applied to system modeling [71][72][73][74] and other fields such as information processing [75][76][77][78][79] and communication systems and so on.…”
Section: Discussionmentioning
confidence: 99%