scispace - formally typeset
Search or ask a question
JournalISSN: 0019-0578

Isa Transactions 

Elsevier BV
About: Isa Transactions is an academic journal published by Elsevier BV. The journal publishes majorly in the area(s): Computer science & Control theory. It has an ISSN identifier of 0019-0578. Over the lifetime, 4690 publications have been published receiving 104582 citations. The journal is also known as: Instrument Society of America transactions.


Papers
More filters
Journal ArticleDOI
TL;DR: Several breakthroughs for control of nonlinear uncertain systems, made possible by ADRC, are discussed and the latest results in theoretical analysis of the ADRC-based control systems are introduced.
Abstract: The methodology of ADRC and the progress of its theoretical analysis are reviewed in the paper. Several breakthroughs for control of nonlinear uncertain systems, made possible by ADRC, are discussed. The key in employing ADRC, which is to accurately determine the “total disturbance” that affects the output of the system, is illuminated. The latest results in theoretical analysis of the ADRC-based control systems are introduced.

629 citations

Journal ArticleDOI

450 citations

Journal ArticleDOI
TL;DR: A novel, unifying concept of disturbance rejector is proposed to compliment the traditional notion of controller, leading to a Copernican moment where the model-centric design philosophy is replaced by the one that is control-centric in the following sense.
Abstract: In this paper, it is shown that the problem of automatic control is, in essence, that of disturbance rejection, with the notion of disturbance generalized to symbolize the uncertainties, both internal and external to the plant. A novel, unifying concept of disturbance rejector is proposed to compliment the traditional notion of controller. The new controller–rejector pair is shown to be a powerful organizing principle in the realm of automatic control, leading to a Copernican moment where the model-centric design philosophy is replaced by the one that is control–centric in the following sense: the controller is designed for a canonical model and is fixed; the difference between the plant and the canonical model is deemed as disturbance and rejected.

370 citations

Journal ArticleDOI
TL;DR: A method based on second order sliding mode control (2-SMC) is proposed to design controllers for a small quadrotor UAV by using Lyapunov theory, which guarantees that all system state trajectories reach and stay on the sliding surfaces.
Abstract: A method based on second order sliding mode control (2-SMC) is proposed to design controllers for a small quadrotor UAV. For the switching sliding manifold design, the selection of the coefficients of the switching sliding manifold is in general a sophisticated issue because the coefficients are nonlinear. In this work, in order to perform the position and attitude tracking control of the quadrotor perfectly, the dynamical model of the quadrotor is divided into two subsystems, i.e., a fully actuated subsystem and an underactuated subsystem. For the former, a sliding manifold is defined by combining the position and velocity tracking errors of one state variable, i.e., the sliding manifold has two coefficients. For the latter, a sliding manifold is constructed via a linear combination of position and velocity tracking errors of two state variables, i.e., the sliding manifold has four coefficients. In order to further obtain the nonlinear coefficients of the sliding manifold, Hurwitz stability analysis is used to the solving process. In addition, the flight controllers are derived by using Lyapunov theory, which guarantees that all system state trajectories reach and stay on the sliding surfaces. Extensive simulation results are given to illustrate the effectiveness of the proposed control method.

365 citations

Journal ArticleDOI
TL;DR: The proposed interior search algorithm (ISA) is inspired by interior design and decoration and it only has one parameter to tune and can outperform the other well-known algorithms.
Abstract: This paper presents the interior search algorithm (ISA) as a novel method for solving optimization tasks. The proposed ISA is inspired by interior design and decoration. The algorithm is different from other metaheuristic algorithms and provides new insight for global optimization. The proposed method is verified using some benchmark mathematical and engineering problems commonly used in the area of optimization. ISA results are further compared with well-known optimization algorithms. The results show that the ISA is efficiently capable of solving optimization problems. The proposed algorithm can outperform the other well-known algorithms. Further, the proposed algorithm is very simple and it only has one parameter to tune.

358 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
2023249
2022817
2021627
2020496
2019337
2018234