Results 31 to 40 of about 1,258,026 (292)

Systemic methods of analysis and synthesis of the intellectual and adaptive control

open access: yes, 2016
There are questions of management of the composite dynamic systems in the conditions of indeterminacy, including consideration of systems for an intellectual adaptive control, questions of assessment of a condition of the concentrated and distributed stochastic systems by various criteria are considered; questions of stochastic management of dynamic ...
Vladimir Taran   +3 more
openaire   +2 more sources

Fault detection for asynchronous T–S fuzzy networked Markov jump systems with new event‐triggered scheme

open access: yesIET Control Theory & Applications, 2021
In this article, an adaptive event‐triggered fault detection problem for the asynchronous Takagi–Sugeno fuzzy networked Markov jump systems is investigated based upon the time‐varying delays. The purpose of designing a fault detection filter is to detect
Muhammad Shamrooz Aslam   +2 more
doaj   +1 more source

A quasi‐differential type event‐triggered model predictive control for perturbed continuous linear systems with constraints

open access: yesIET Control Theory & Applications, 2021
A quasi‐differential type event‐triggered model predictive control (ET‐MPC) framework for continuous‐time linear systems with additional disturbances is constructed.
Zhongxian Xu   +3 more
doaj   +1 more source

Distance‐based formation control for multi‐lane autonomous vehicle platoons

open access: yesIET Control Theory & Applications, 2021
This paper investigates the formation control of connected autonomous vehicle (CAV) platoons moving in multi lanes using distance‐based formation control techniques based on rigid graphs and V2V communication.
Yajun Zheng   +4 more
doaj   +1 more source

Hierarchic distributed stabilization of a class of three‐dimensional formations for underactuated agents

open access: yesIET Control Theory & Applications, 2021
The paper presents a distributed hierarchic control design solving a formations problem in three dimension. The agents are modelled as thrust‐underactuated rigid bodies.
Mohamed I. El‐Hawwary
doaj   +1 more source

Finite‐time dissipative control for time‐delay Markov jump systems with conic‐type non‐linearities under guaranteed cost controller and quantiser

open access: yesIET Control Theory & Applications, 2021
For a class of conic‐type non‐linear time‐delay Markov jump systems, the asynchronous dissipative output feedback controller based on the guaranteed cost control and quantiser is designed in this study. In real applications, the system and the controller
Xiang Zhang   +3 more
doaj   +1 more source

Identification and data-driven model reduction of state-space representations of lossless and dissipative systems from noise-free data [PDF]

open access: yes, 2011
We illustrate procedures to identify a state-space representation of a lossless- or dissipative system from a given noise-free trajectory; important special cases are passive- and bounded-real systems.
Trentelman, Harry   +9 more
core   +1 more source

An integral sliding mode fault tolerant control for a class of non‐linear Lipschitz systems

open access: yesIET Control Theory & Applications, 2021
This paper proposes an active fault‐tolerant control (FTC) strategy for a class of non‐linear Lipschitz systems. The proposed FTC approach employs the integral sliding mode control (ISMC) technique due to its inherent capability of dealing with system ...
Muhammad Ammar Ashraf   +3 more
doaj   +1 more source

Mean‐square output consensus of heterogeneous multi‐agent systems with communication noises

open access: yesIET Control Theory & Applications, 2021
This paper focuses on the mean‐square output consensus of heterogeneous multi‐agent systems, in which the communication noises are taken into consideration.
Wei Chen   +3 more
doaj   +1 more source

Resilient path‐following control of autonomous vehicles subject to intermittent denial‐of‐service attacks

open access: yesIET Intelligent Transport Systems, 2021
An autonomous vehicle (AV) is a cyber‐physical system (CPS) incorporating dynamics, perception sensors (e.g. camera and radar), embedded electronic control units (ECUs) and in‐vehicle networking (e.g.
Yulei Wang   +4 more
doaj   +1 more source

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