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A survey on the control lyapunov function and control barrier function for nonlinear-affine control systems
This survey provides a brief overview on the control Lyapunov function (CLF) and control
barrier function (CBF) for general nonlinear-affine control systems. The problem of control is …
barrier function (CBF) for general nonlinear-affine control systems. The problem of control is …
Appointed-time control for flexible hypersonic vehicles with conditional disturbance negation
This article investigates the antidisturbance control design for flexible air-breathing
hypersonic vehicles (FAHVs) with appointed-time prescribed tracking performances. The …
hypersonic vehicles (FAHVs) with appointed-time prescribed tracking performances. The …
Adaptive robust quadratic programs using control Lyapunov and barrier functions
This paper presents adaptive robust quadratic program (QP) based control using control
Lyapunov and barrier functions for nonlinear systems subject to time-varying and state …
Lyapunov and barrier functions for nonlinear systems subject to time-varying and state …
Safe and efficient reinforcement learning using disturbance-observer-based control barrier functions
Safe reinforcement learning (RL) with assured satisfaction of hard state constraints during
training has recently received a lot of attention. Safety filters, eg, based on control barrier …
training has recently received a lot of attention. Safety filters, eg, based on control barrier …
Safe Feedback Motion Planning: A Contraction Theory and ℒ1-Adaptive Control Based Approach
A Lakshmanan, A Gahlawat… - 2020 59th IEEE …, 2020 - ieeexplore.ieee.org
Autonomous robots that are capable of operating safely in the presence of imperfect model
knowledge or external disturbances are vital in safety-critical applications. In this paper, we …
knowledge or external disturbances are vital in safety-critical applications. In this paper, we …
Stability analysis and dynamic regulation of multi-dimensional Taylor network controller for SISO nonlinear systems with time-varying delay
AM Kang, HS Yan - ISA transactions, 2018 - Elsevier
Though many studies are focused on the stabilization of nonlinear systems with time-varying
delay, they fail to involve the dynamic regulation without on-line optimization commonly. For …
delay, they fail to involve the dynamic regulation without on-line optimization commonly. For …
Adaptive MPC for constrained systems with parameter uncertainty and additive disturbance
In this study, the authors propose an adaptive model predictive control (MPC) algorithm for
constrained linear systems in state space subject to uncertain model parameters and …
constrained linear systems in state space subject to uncertain model parameters and …
Contraction $\\mathcal {L} _1 $-Adaptive Control using Gaussian Processes
We present a control framework that enables safe simultaneous learning and control for
systems subject to uncertainties. The two main constituents are contraction theory-based …
systems subject to uncertainties. The two main constituents are contraction theory-based …
New AFSMC method for nonlinear system with state-dependent uncertainty: Application to hexapod robot position control
H Navvabi, AHD Markazi - Journal of Intelligent & Robotic Systems, 2019 - Springer
Abstract Conventional Adaptive Fuzzy Sliding Mode Control (AFSMC) method is extended
for nonlinear affine systems with state-dependent upper bound of uncertainties. More …
for nonlinear affine systems with state-dependent upper bound of uncertainties. More …
Nonlinear model-predictive control with disturbance rejection property using adaptive neural networks
B Vatankhah, M Farrokhi - Journal of the Franklin Institute, 2017 - Elsevier
In this paper, a method is proposed to reject disturbances in the model predictive control
(MPC) strategy. In addition, uncertainties in the system parameters (ie, internal disturbances) …
(MPC) strategy. In addition, uncertainties in the system parameters (ie, internal disturbances) …