Adaptive critic learning for approximate optimal event-triggered tracking control of nonlinear systems with prescribed performances

T Wang, L Zhang, N Xu, KH Alharbi - International Journal of …, 2023 - Taylor & Francis
This paper studies the approximate optimal event-triggered tracking control problem for a
class of second-order nonlinear systems with prescribed performances. By employing a …

Safe navigation of a quadrotor UAV with uncertain dynamics and guaranteed collision avoidance using barrier Lyapunov function

H Habibi, A Safaei, H Voos, M Darouach… - Aerospace Science and …, 2023 - Elsevier
In this paper, the safe autonomous motion control of a quadrotor Unmanned Aerial Vehicle
(UAV) is considered, in the presence of disturbance, stationary and moving obstacles. In this …

Resilient model predictive adaptive control of networked Z-source inverters using GMDH

A Ahmadi, Y Asadi, AM Amani… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Power grids are increasingly evolving into more efficient smart grids thanks to
advancements in information technology. However, these intelligent communication …

Attitude-Tracking Control for Over-Actuated Tailless UAVs at Cruise Using Adaptive Dynamic Programming

Z He, J Hu, Y Wang, J Cong, Y Bian, L Han - Drones, 2023 - mdpi.com
Using adaptive dynamic programming (ADP), this paper presents a novel attitude-tracking
scheme for over-actuated tailless unmanned aerial vehicles (UAVs) that integrates control …

An estimation method for sensor faults based on observer in interconnected systems

Y Sun, H Li - Plos one, 2024 - journals.plos.org
In this research, a class of nonlinear interconnected systems with sensor faults were
investigated and an estimation method was proposed for system sensor faults based on the …

Reinforcement Learning-Based Decentralized Safety Control for Constrained Interconnected Nonlinear Safety-Critical Systems

C Qin, Y Wu, J Zhang, T Zhu - Entropy, 2023 - mdpi.com
This paper addresses the problem of decentralized safety control (DSC) of constrained
interconnected nonlinear safety-critical systems under reinforcement learning strategies …

Optimal adaptive output regulation of uncertain nonlinear discrete-time systems using lifelong concurrent learning

R Moghadam, B Farzanegan… - 2022 IEEE 61st …, 2022 - ieeexplore.ieee.org
This paper addresses neural network (NN) based optimal adaptive regulation of uncertain
nonlinear discrete-time systems in affine form using output feedback via lifelong concurrent …

Event-triggered-based online integral reinforcement learning for optimal control of unknown constrained nonlinear systems

X Han, X Zhao, D Wang, B Wang - International Journal of Control, 2024 - Taylor & Francis
For unknown nonlinear systems with actuator saturation, an online policy iteration-based
algorithm is employed to solve the optimal event-triggered control problem. To learn the …

On the Relative Stability of Linear Time Invariant Systems

GR Murthy, TJ Swamy - IETE Journal of Research, 2024 - Taylor & Francis
In this paper, state space representation based approach to relative stability of Linear Time
Invariant (LTI) systems is discussed. Specifically, given a bound on the output, relative …

[PDF][PDF] Survey on Enabling Encrypted Cloud Emails with Data Encryption using advanced Encryption Techniques

MM Ansari, MG Narang - IJRAR-International Journal of Research and …, 2022 - ijrar.org
Cloud computing offers a flexible and convenient means of exchanging data, with several
advantages for both society and individuals. With the widespread usage of cloud emails and …