Nonlinear And Adaptive Control Design

By P. Kuster. 2016

2,912 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/64f8537ec5f56fd27bada984136d17f14ea8ee80

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Citations in the corpus

A Review on Recent Development of Spacecraft Attitude Fault Tolerant Control System (2016, methodology): “Adaptive control technique [69], as one of modern control theory, has been widely applied to handling uncertain system parameters.”
Distributed adaptive control for consensus tracking with application to formation control of nonholonomic mobile robots (2014, methodology): “(57) Note Proj(·, ·) denotes a Lipschitz continuous projection operator about which the design details and properties can be found in Krstic et al. (1995).”
Performance analysis of 2‐DOF tracking control for a class of nonlinear uncertain systems with discontinuous disturbances (2018, background): “Note that the state vector x contains the output y(t) and its first (n−1)th-order derivative, and then, this paper is interested in the following control object: sup t∈[t0,∞) ||x(t) − x∗(t)|| ≤ ε, (2)”
Adaptive Dynamic Programming and Adaptive Optimal Output Regulation of Linear Systems (2016, methodology): “Departing from traditional model-based adaptive control methods [2], [17], [29], we invoke reinforcement learning theory [42] and approximate/adaptive dynamic programming (ADP) [5], [33], [38], [44] for non-model-based, data-driven adaptive optimal control design.”
Multi‐surface sliding control for fast finite‐time leader–follower consensus with high order SISO uncertain nonlinear agents (2014, background): “Each agent in the network is described by the following class of high-order uncertain nonlinear systems [43]: P x i D x iC1, 16 i 6 n 1, P x n D f .”
Adaptive Consensus of Multi-Agent Systems With Unknown Identical Control Directions Based on A Novel Nussbaum-Type Function (2014, methodology): “Remark 3: Since the multi-agent system (18) is a special linearly parameterized strict-feedback system, the control law (19) and the adaptive law (20) are designed by the adaptive backstepping technique [23].”
Control: A perspective (2014, methodology): “The MRAC was extended to nonlinear systems using back-stepping [394]; Lyapunov stability and passivity were essential ingredients in developing the control laws.”
Global output regulation for strict‐feedback nonlinear systems with mismatched nonvanishing disturbances (2015, methodology): “The baseline and integral backstepping controllers [9] for numerical example (32) in simulation studies are given as follows for the convenience of the reader.”
Adaptive Backstepping Stabilization of Nonlinear Uncertain Systems With Quantized Input Signal (2014, methodology): “Since backstepping technique was proposed, it has been wide ly used to design adaptive controllers for uncertain systems [21].”
Rapidly Exponentially Stabilizing Control Lyapunov Functions and Hybrid Zero Dynamics (2014, background): “Domains of application include nonlinear adaptive control [27], robust nonlinear feedback design [38], receding horizon control of nonlinear systems [24], and stabilization of hybrid systems [36], to name only a few.”
Neural-Fly enables rapid learning for agile flight in strong winds (2022, background): “Adaptive control theory has been extensively studied for online control and identification problems with parametric uncertainty, for example, unknown linear coefficients for mixing known basis functions [15, 16, 17, 18, 19, 20].”
Observer-Based Adaptive Backstepping Consensus Tracking Control for High-Order Nonlinear Semi-Strict-Feedback Multiagent Systems (2016, methodology): “ADAPTIVE CONSENSUS TRACKING CONTROLLER DESIGN According to the backstepping technique [48], the consensus controller design of the agent i, (i = 1, .”
Removing the Feasibility Conditions Imposed on Tracking Control Designs for State-Constrained Strict-Feedback Systems (2019, methodology): “Remark 1: Assumption 1 is commonly used for state-feedback controller design [18].”
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator (2018, background): “The problem of adaptively controlling an unknown dynamical system has a rich history, with classical asymptotic results of convergence and stability dating back decades [12, 13].”
Prescribed Performance Fault-Tolerant Control of Uncertain Nonlinear Systems With Unknown Control Directions (2017, background): “During the past decades, nonlinear control has evolved as an exciting research area [1]–[3].”