A survey on the control lyapunov function and control barrier function for nonlinear-affine control systems

B Li, S Wen, Z Yan, G Wen… - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
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 …

Appointed-time control for flexible hypersonic vehicles with conditional disturbance negation

J Sun, Z Pu, Y Chang, S Ding… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article investigates the antidisturbance control design for flexible air-breathing
hypersonic vehicles (FAHVs) with appointed-time prescribed tracking performances. The …

Adaptive robust quadratic programs using control Lyapunov and barrier functions

P Zhao, Y Mao, C Tao, N Hovakimyan… - 2020 59th IEEE …, 2020 - ieeexplore.ieee.org
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 …

Safe and efficient reinforcement learning using disturbance-observer-based control barrier functions

Y Cheng, P Zhao… - Learning for Dynamics …, 2023 - proceedings.mlr.press
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 …

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 …

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 …

Adaptive MPC for constrained systems with parameter uncertainty and additive disturbance

S Zhang, L Dai, Y **a - IET Control Theory & Applications, 2019 - Wiley Online Library
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 …

Contraction $\\mathcal {L} _1 $-Adaptive Control using Gaussian Processes

A Gahlawat, A Lakshmanan, L Song… - … for Dynamics and …, 2021 - proceedings.mlr.press
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 …

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 …

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) …