Results 41 to 50 of about 26,383,573 (299)
, 2020 Neural networks (NNs), which have excellent ability of self-learning and parameter adjusting, has been widely applied to solve highly nonlinear control problems in industrial processes.
Seiji Hashimoto +3 more
core +1 more source
Non‐linear adaptive tracking control for quadrotor aerial robots under uncertain dynamics
IET Control Theory & Applications, 2021 This paper presents the design, analysis, and implementation of an adaptive backstepping controller for underactuated quadrotors to track time‐varying trajectories with parameter uncertainties.
Yen‐Chen Liu, Tsung‐Wei Ou
doaj +1 more source
Self-Adjusting Handbrake Mechanism Design
Journal of Engineering Management and Systems Engineering, 2022 Due to the wear of the brake linings of the rear brake, as well as due to the stretching of the steel rope of the handbrake control during the exploitation of the vehicle, the transmission mechanism of the handbrake increases the predefined clearances ...
A. Pavlović +2 more
semanticscholar +1 more source
DYNAMICO: A Reference Model for Governing Control Objectives and Context Relevance in Self-Adaptive Software Systems [PDF]
, 2010 Despite the valuable contributions on self-adaptation, most implemented approaches assume adaptation goals and monitoring infrastructures as non-mutable, thus constraining their applicability to systems whose context awareness is restricted to static ...
Casallas, Rubby +9 more
core +1 more source
Event-triggered and self-triggered gain scheduled control of linear systems with input constraints
, 2022 This article proposes static/dynamic event-triggered and self-triggered discrete gain scheduled control with a designable parametric minimal interevent time (MIET) to achieve semiglobal stabilization of linear systems with input constraints.
Zhou, Bin +7 more
core +1 more source
IET Control Theory & Applications, 2021 This paper investigates robust path tracking issue of the four‐wheel independent driven robot (FWIDR) under time‐varying system uncertainties and unavoidable external disturbances.
Xiaolong Zhang +5 more
doaj +1 more source
Electronics Letters, 2021 This letter presents a new intelligent control scheme for the accurate trajectory tracking of flexible link manipulators. The proposed approach is mainly based on a sliding mode controller for underactuated systems with an embedded artificial neural ...
Gabriel da Silva Lima +3 more
doaj +1 more source
Sensitivity Minimisation for the Class of Self-Tuning Control Systems
, 1995 A new method for designing self-tuning control systems is proposed. The ultimate goal of the presented approach is to construct a self-tuner capable of coping with situations when the process under control cannot be modelled accurately within the ...
Andrzej Tarczynski
core +1 more source
A survey of self-healing systems frameworks [PDF]
, 2015 Rising complexity within multi-tier computing architectures remains an open problem. As complexity increases, so do the costs associated with operating and maintaining systems within these environments.
Barker, Adam David +6 more
core +1 more source
IET Control Theory & Applications, 2021 Here, a model‐free linear active disturbance rejection controller (LADRC) integrating dead‐zone inverse compensation for an electro‐hydraulic proportional (EHP) system with an unknown dead‐zone is proposed.
Lixin Wang +5 more
doaj +1 more source