Linear output feedback with dynamic high gain for nonlinear systems
By Laurent Praly, Zhong-Ping Jiang. Systems & control letters (Print), 2004
413 citations recorded by the source corpus.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/ff30527cc2e29752cb80205e4c27bc7a206a2dda
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In Control and Systems Engineering
- Yi Huang
- Wenchao Xue
- Hao Lei
- Wei Lin
- Farshad Khorrami
- Prashanth Krishnamurthy
- Ji-feng Zhang
- Hassan K. Khalil
Citations in the corpus
- Performance analysis of 2‐DOF tracking control for a class of nonlinear uncertain systems with discontinuous disturbances (2018, neutral): “Since the initial value êi(t0) should be designed as close to ei(t0) as possible, we set ê1(t0) = y(t0) − r(t0), êi(t0) = x̂i(t0) − ri(t0), 2 ≤ i ≤ n + 1, ên+1(t0) = f̂ (t0) − rn+1(t0), (15)”
- Active disturbance rejection control: methodology and theoretical analysis. (2014, methodology): “Let us continuously study the controller in [32], where the following nonlinear system is considered:”
- Dual high‐gain‐based adaptive output‐feedback control for a class of nonlinear systems (2008, background): “A particular case in which the design in [6, 7] reduces to a purely linear controller was considered in [13].”
- Output‐feedback control of a class of stochastic nonlinear systems with linearly bounded unmeasurable states (2008, background): “Since then, much research work has been focused on the output-feedback global stabilization of nonlinear systems under various structure or growth conditions [11–16].”
- High-gain observers in nonlinear feedback control (2009, background): “When a bound on the nonlinearities or the (local) Lipschitz constants is known as function of the measurement or is observable, a possible strategy consists in letting " follows this bound, somehow making (31) an equality [20, 36, 68].”
- Robust control of uncertain systems with polynomial nonlinearity by output feedback (2009, background): “In addition, condition (2), similar to the hypotheses proposed in [11, 15], allows the growth rate c(·) to be a polynomial function of the system output rather than a constant.”