Results 11 to 20 of about 76,378 (267)

Maximal imaginery eigenvalues in optimal systems [PDF]

open access: yesModeling, Identification and Control, 1991
In this note we present equations that uniquely determine the maximum possible imaginary value of the closed loop eigenvalues in an LQ-optimal system, irrespective of how the state weight matrix is chosen, provided a real symmetric solution of the ...
David Di Ruscio
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

Consensus problems in multiagent systems: A vector based contraction approach

open access: yesIET Control Theory & Applications, 2021
This paper addresses the exploitation of vector based contraction theory to synchronize the motion of agents in multiagent systems. The convergence analysis of the agents using this theory provides a flexible frame as the components of a vector distance ...
Bhawana Singh   +4 more
doaj   +1 more source

FUZZY CONTROL FOR MULTIVARIABLE SYSTEMS

open access: yesIFAC Proceedings Volumes, 1983
Abstract In this paper a fuzzy control algorithm for regulator control of multivariable systems based on a state space model of the system is introduced. Its application to several linear systems is illustrated and compared with systems controlled by means of linear feedback laws as obtained via an INA-design or linear output feedback.
A. Shakouri   +3 more
openaire   +1 more source

Analytical Multiloop Control for Multivariable Systems with Time Delays

open access: yesComplexity, 2020
In this paper, a new design method with performance improvements of multiloop controllers for multivariable systems is proposed. Precise expression is developed to show the relationship between the dynamic- and steady-state characteristics of the ...
Zhiguo Wang, Peng Wei
doaj   +1 more source

Delay dependent criteria for the consensus of second‐order multi‐agent systems subject to communication delay

open access: yesIET Control Theory & Applications, 2021
In this paper, a distributed controller is designed for the consensus of multi‐agent systems in which each agent has a general second‐order linear dynamic and the information is exchanged over a data‐delaying communication network.
Amir Nejadvali   +3 more
doaj   +1 more source

A Schur Method for Designing LQ-optimal Systems with Prescribed Eigenvalues [PDF]

open access: yesModeling, Identification and Control, 1990
In this paper a new algorithm for solving the LQ-optimal pole placement problem is presented. The method studied is a variant of the classical eigenvector approach and instead uses a set of Schur vectors, thereby gaining substantial numerical advantages.
David Di Ruscio, Jens G. Balchen
doaj   +1 more source

Intermittent control of unstable multivariate systems [PDF]

open access: yes2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015
A sensorimotor architecture inspired from biological, vertebrate control should (i) explain the interface between high dimensional sensory analysis, low dimensional goals and high dimensional motor mechanisms and (ii) provide both stability and flexibility.
Loram, I, Gawthrop, P, Gollee, H
openaire   +3 more sources

Predictive control of multivariable time-delay systems

open access: yesMATEC Web of Conferences, 2017
In technical practice often occur multivariable processes with time delay. Time-delays are mainly caused by the time required to transport mass, energy or information, but they can also be caused by processing time or accumulation.
Marek Kubalcik, Vladimir Bobal
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

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