Nonlinear Output Regulation: Theory and Applications
By Jie Huang. 2004
1,612 citations recorded by the source corpus.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/5ffb23668d21c6094eeee53378beb7052251c2b2
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In Control and Systems Engineering
Citations in the corpus
- Cooperative robust output regulation of a class of heterogeneous linear uncertain multi‐agent systems (2014, background): “9 in [4], Assumption 3 holds if and only if, for any w 2W , any Q E.”
- Adaptive Dynamic Programming and Adaptive Optimal Output Regulation of Linear Systems (2016, methodology): “The methodology developed in this note may be employed to study the adaptive optimal tracking problem of uncertain nonlinear systems [7], [11], [14], [15], [29], [34] by global or robust adaptive dynamic programming [21], [22].”
- Output Consensus of Heterogeneous Uncertain Linear Multi-Agent Systems (2011, background): “Next, it is shown that large uncertainties and the heterogeneity can be effectively dealt with by the output regulation theory (that are well established in [1], [4], [5], [13], [14]).”
- Technical communique: Global practical tracking of a class of nonlinear systems by output feedback (2007, result): “Similar to the output regulation theory (Huang, 2004; Isidori, 1995) we assume the only measurable signal in system (1) to be the error between the output x1 and the reference yr .”
- High-gain observers in nonlinear feedback control (2009, background): “Any controller that solves the regulation problem must contain a dynamical model that generates the steady-state control uss, a property known as the internal model principle [78, 79].”
- Distributed Resilient Observer-Based Fault-Tolerant Control for Heterogeneous Multiagent Systems Under Actuator Faults and DoS Attacks (2020, background): “Note that Assumptions 3–5 are also made in the area of the linear output regulation results, for instance [8] and [34].”
- Finite-Time Stabilization of Nonlinear Systems With Parametric and Dynamic Uncertainties (2006, background): “The design for nonlinear control systems with dynamic uncertainty has also been studied widely, partially because dynamic uncertainty often arises from many different control engineering applications; see [10], [12], [13], [26] and references therein.”
- Cooperative Output Regulation of Linear Multi-Agent Systems (2012, background): “Since the control of the subsystems in the second group cannot access the exogenous signal for feedback control, the output regulation problem of the plant (1) and the exosystem (2) cannot be handled by the classical approach studied in [1]–[3], [8] where both the state and the exogenous signal can ”
- A survey on iterative learning control for nonlinear systems (2011, neutral): “Other IMC works (Huang 2004) may provide a different angle and different formulation for HOIM-based ILC.”
- Robust Control Scheme for Three-Phase Grid-Connected Inverters With LCL-Filter Under Unbalanced and Distorted Grid Conditions (2018, background): “The existence of such controller is theoretically proved in [30] and [31].”
- Decentralized adaptive output-feedback stabilization for large-scale stochastic nonlinear systems (2007, methodology): “Due to the mixture of differential geometric and analytical methods, much progress has been made recently in the field of nonlinear systems and control (Freeman & Kokotović, 1995; Huang, 2004; Isidori, 1999; Khalil, 2002; Krstić, Kanellakopoulos, & Kokotović, 1995; Marino & Tomei, 1995).”
- Model Reduction by Moment Matching for Linear and Nonlinear Systems (2010, methodology): “We note that this work relies upon the theory of the steady-state response of nonlinear systems, center manifold theory and the tools arising in the theory of output regulation for nonlinear systems [5], [6], [47]–[50].”