Results 31 to 40 of about 24,932,877 (195)

Hierarchical multi‐innovation generalised extended stochastic gradient methods for multivariable equation‐error autoregressive moving average systems

open access: yesIET Control Theory & Applications, 2020
This study presents the modelling technology of multivariable equation-error autoregressive moving average (EEARMA) systems through observational data of systems.
Ling Xu   +4 more
semanticscholar   +1 more source

Fully relative state constraint impulsive consensus of nonlinear multi‐agent systems via state‐dependent impulsive protocols

open access: yesIET Control Theory & Applications, 2021
In this paper, the state‐dependent impulsive consensus problem of nonlinear multi‐agent systems in directed topology with fully relative state constraint impulses is investigated.
Qiangqiang Zhang   +3 more
doaj   +1 more source

Robust control and analysis of a wind-diesel hybrid power plant [PDF]

open access: yesModeling, Identification and Control, 1995
The aim of this paper is twofold. First to present multivariable frequency domain techniques as a tool for controller design and dynamic analysis of an autonomous wind-diesel power system.
K. Uhlen   +2 more
doaj   +1 more source

Progress in the Design of Multivariable Control Systems

open access: yesMeasurement + Control, 1971
Frequency-response methods have not widely been applied to multivariable systems in which interaction is significant. The paper describes some recent progress in using computers with graphic output for this purpose.
H. H. Rosenbrock BSc, PhD, DSc, CEng, FIEE, MIChemE
doaj   +1 more source

Simultaneous tuning of multiple PID controllers for multivariable systems using deep reinforcement learning

open access: yesDigital Chemical Engineering, 2023
Traditionally, tuning of PID controllers is based on linear approximation of the dynamics between the manipulated input and the controlled output. The tuning is performed one loop at a time and interaction effects between the multiple single-input-single-
Sammyak Mate   +3 more
doaj   +1 more source

A Fuzzy Difference Equation Matrix Model for the Control of Multivariable Nonlinear Systems

open access: yesApplied Sciences
This paper proposes the Fuzzy Difference Equation Matrix Model (FDEMM), a novel predictive control algorithm designed for nonlinear multivariable systems.
Basil Mohammed Al-Hadithi   +2 more
doaj   +1 more source

Design of a multivariable neural controller for control of a nonlinear MIMO plant

open access: yesInternational Journal of Applied Mathematics and Computer Science, 2014
The paper presents the training problem of a set of neural nets to obtain a (gain-scheduling, adaptive) multivariable neural controller for control of a nonlinear MIMO dynamic process represented by a mathematical model of Low-Frequency (LF) motions of a
Bańka Stanisław   +2 more
doaj   +1 more source

Finite‐time consensus of leader‐following non‐linear multi‐agent systems via event‐triggered impulsive control

open access: yesIET Control Theory & Applications, 2021
This work is concerned with the finite‐time consensus of leader‐following non‐linear multi‐agent systems by means of distributed event‐triggered impulsive control. The finite‐time consensus protocol is first put forward based on event‐triggered impulsive
Tao Chen, Shiguo Peng, Zhenhua Zhang
doaj   +1 more source

Optimization and Simulation of Dynamic Performance of Production–Inventory Systems with Multivariable Controls

open access: yesMathematics, 2021
The production–inventory system is a problem of multivariable input and multivariant output in mathematics. Selecting the best system control parameters is a crucial managerial decision to achieve and dynamically maintain an optimal performance in terms ...
Huthaifa AL-Khazraji   +2 more
doaj   +1 more source

Globally Monotonic Tracking Control of Multivariable Systems [PDF]

open access: yesIEEE Transactions on Automatic Control, 2014
In this technical note we present a method for designing a linear time invariant (LTI) state-feedback controller to monotonically track a step reference at any desired rate of convergence for any initial condition.
L. Ntogramatzidis   +3 more
semanticscholar   +1 more source

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