Output-feedback stabilization of stochastic nonlinear systems driven by noise of unknown covariance (

By H. Deng, Miroslav Krstic. 2000

715 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/98e2bd1af19eb1889a55d73b3ea4c90a59555a47

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Shaocheng Tong
2. Yong-ming Li
3. Hongyi Li
4. Qi Zhou
5. Peng Shi
6. Bing Chen
7. Chong Lin
8. Tong Wang

Citations in the corpus

• Output‐feedback control of a class of stochastic nonlinear systems with linearly bounded unmeasurable states (2008, background): “Since Deng and Krstić [4] firstly gave a result of output-feedback stabilization, the output-feedback controller design for stochastic nonlinear systems has received more intensive investigation [2, 5–9], which is because not only in general, the design of output-feedback control is more difficult a”
• Continuous finite‐time state feedback stabilizers for some nonlinear stochastic systems (2015, background): “For instance, two-order and three-order strict-feedback stochastic systems in [15, 16, 23] are special cases of stochastic nonlinear systems considered in this paper.”
• Observer-Based Adaptive Neural Network Control for Nonlinear Stochastic Systems With Time Delay (2013, methodology): “The backstepping design for nonlinear stochastic single-input single-output (SISO) systems was investigated in [9] and [10] by introducing quartic Lyapunov functions.”
• Output feedback control for a class of stochastic high‐order nonlinear systems with time‐varying delays (2014, background): “When pi D 1, the work [7] designed an output feedback backstepping control law to guarantee global asymptotic stability in probability for stochastic nonlinear continuous-time systems, which leads to more intensive investigations [8–10] and the references therein.”
• Fuzzy Adaptive Actuator Failure Compensation Control of Uncertain Stochastic Nonlinear Systems With Unmodeled Dynamics (2014, methodology): “The backstepping design for stochastic single-input and single-output (SISO) nonlinear systems was investigated in [8]–[10] by introducing a quartic Lyapunov function.”
• Adaptive NN Backstepping Output-Feedback Control for Stochastic Nonlinear Strict-Feedback Systems With Time-Varying Delays (2010, background): “Moreover, the requirement that the output-dependent system functions are known or bounded [12], [13], [16], [20], [22], [23], [25] is removed due to the use of NN.”
• Robust Control for a Class of Discrete Time-Delay Stochastic Systems with Randomly Occurring Nonlinearities (2014, neutral): “2 Abstract and Applied Analysis systems has stirred renewed research interests [14], and a variety of nonlinear stochastic systems have been investigated by different approaches, such as the minimax dynamic game approach [15], the input-to-state stabilization method [16, 17], the infinite-horizon ri”
• Adaptive Neural Tracking Control for a Class of Nonstrict-Feedback Stochastic Nonlinear Systems With Unknown Backlash-Like Hysteresis (2014, methodology): “As an alternative, Krstić and Deng [8]–[10] gave a backstepping design scheme for stochastic nonlinear strict-feedback systems by introducing a quartic Lyapunov function, and then the quartic Lyapunov function has been widely applied to analysis and design many classes of stochastic nonlinear system”
• Decentralized adaptive output-feedback stabilization for large-scale stochastic nonlinear systems (2007, background): “Thus, the main results of Deng and Krstić (2000) can be seen as special case of this paper when N = 1.”
• Robust H∞ control for a class of nonlinear discrete time-delay stochastic systems with missing measurements (2009, neutral): “Recently, the control problem of nonlinear stochastic systems has stirred renewed research interests, and a variety of nonlinear stochastic systems have been investigated by different approaches [3,4,16,28].”
• Finite-time stabilization of stochastic nonlinear systems in strict-feedback form (2013, methodology): “…the adaptive control l rights reserved. design for high-order stochastic nonlinear systems in Xie and Tian (2009), controller and observer design in Deng and Krstic (1999, 2000) and in Liu, Zhang et al. (2008) to construct output feedback stabilizer for a large class of stochastic nonlinear…”