Automation Shandong

1 week ago | onlinelibrary.wiley.com | Huiling Chen |Automation Shandong |Xiao Liang |Guilin Zhang

Conflicts of Interest The authors declare no conflicts of interest. References 1, “On a Matrix Riccati Equation of Stochastic Control,” SIAM Journal on Control and Optimization 6, no. 4 (1968): 681–697. 2, “Linear Quadratic Optimal Stochastic Control With Random Coefficients,” SIAM Journal on Control and Optimization 14, no. 3 (1976): 419–444. 3 and , “Stabilizability of Stochastic Linear Systems With Finite Feedback Data Rates,” SIAM Journal on Control and Optimization 43, no.

Sep 18, 2024 | onlinelibrary.wiley.com | Huiling Chen |Automation Shandong |Xiao Liang |Guilin Zhang

AUTHOR CONTRIBUTIONS Huiling Chen: Writing—original draft. Xiao liang: Revise the original draft. Guilin Zhang: Revise the original draft. CONFLICT OF INTEREST STATEMENT The authors declare no potential conflicts of interest. REFERENCES 1, Linear quadratic optimal stochastic control with random coefficients, SIAM J. Control Optim. 14 (1976), no. 3, 419–444, DOI 10.1137/0314028. 2, On a matrix Riccati equation of stochastic control, SIAM J. Control 6 (1968), no.

Feb 13, 2024 | onlinelibrary.wiley.com | Chen Sun |Yan Lin |Automation Shandong |Lin Li

CONFLICT OF INTEREST STATEMENT The authors declare no conflicts of interest. REFERENCES 1. Passive fault tolerant perfect tracking with additive faults. Automatica. 2018; 87: 432-436. 2, . Bibliographical review on reconfigurable fault-tolerant control systems. Ann Rev Control. 2008; 32(2): 229-252. 3. Direct adaptive actuator failure compensation control: a tutorial. J Control Decis. 2014; 1(1): 75-101. 4, . A review of fault tolerant control systems: advancements and applications.

Aug 17, 2023 | onlinelibrary.wiley.com | Ping Wang |Zhen Wang |Xia Huang |Automation Shandong

CONFLICT OF INTEREST STATEMENT The authors declare no potential conflict of interest. REFERENCES 1, , , , . Compression and acceleration of neural networks for communications. IEEE Wirel Commun. 2020; 27(4): 110-117. 2, , , et al. Deep-learning methods for parallel magnetic resonance imaging reconstruction: a survey of the current approaches, trends, and issues. IEEE Signal Process Mag. 2020; 37(1): 128-140. 3, , , , .

Jul 10, 2023 | onlinelibrary.wiley.com | Chen Sun |Yan Lin |Automation Shandong |Lin Li

Abstract This article proposes an adaptive event-triggered output feedback tracking scheme for a class of nonlinear systems for which the system nonlinearities coupling with unmeasurable states satisfy a more general growth condition than those in the existing literature. To estimate the transformed state variables, a reduced-order observer is first designed by using the gain scaling and estimation-based techniques.