Dynamic Event-Triggered Fusion Filtering for Multi-Sensor Rectangular Descriptor Systems With Random State Delay

Hu, Jun; Luo, Ruonan; Dong, Hongli; Chen, Cai; Liu, Hongjian

doi:10.1109/tsipn.2023.3341410

Cited by 5 publications

(1 citation statement)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Descriptor systems can be considered a powerful modeling tool since they can describe processes governed by differential and algebraic equations [1]. They play an important role in the field of system control theory because of their extensive practical background, such as in chemistry, robotics, and circuit systems [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Constrained State Regulation Problem of Descriptor Fractional-Order Linear Continuous-Time Systems

Yang,

Si,

Ivanov

2024

Fractal Fract

View full text Add to dashboard Cite

This paper deals with the constrained state regulation problem (CSRP) of descriptor fractional-order linear continuous-time systems (DFOLCS) with order 0<α<1. The objective is to establish the existence of conditions for a linear feedback control law within state constraints and to propose a method for solving the CSRP of DFOLCS. First, based on the decomposition and separation method and coordinate transformation, the DFOLCS can be transformed into an equivalent fractional-order reduced system; hence, the CSRP of the DFOLCS is equivalent to the CSRP of the reduced system. By means of positive invariant sets theory, Lyapunov stability theory, and some mathematical techniques, necessary and sufficient conditions for the polyhedral positive invariant set of the equivalent reduced system are presented. Models and corresponding algorithms for solving the CSRP of a linear feedback controller are also presented by the obtained conditions. Under the condition that the resulting closed system is positive, the given model of the CSRP in this paper for the DFOLCS is formulated as nonlinear programming with a linear objective function and quadratic mixed constraints. Two numerical examples illustrate the proposed method.

show abstract

Section: Introductionmentioning

confidence: 99%

Constrained State Regulation Problem of Descriptor Fractional-Order Linear Continuous-Time Systems

Yang,

Si,

Ivanov

2024

Fractal Fract

View full text Add to dashboard Cite

show abstract

Set‐membership state estimation for delayed switched systems with fading measurement and interval uncertainty

Chen,

Zhou,

et al. 2024

Optim Control Appl Methods

View full text Add to dashboard Cite

Considering the influence of interval uncertainty, a set‐membership state estimation algorithm based on zonotope is proposed for discrete‐time delayed switched systems subject to unknown but bounded noises. To economize on communication resources, an event‐triggered mechanism is introduced to ensure the efficient transmission of the required observation information. For the channel fading phenomenon during data transmission, an interval channel fading model applicable to the zonotope set‐emmbership state estimation is proposed. The asynchronous state observer is constructed by considering the inconsistency between event‐triggered instant and subsystem switched instant. The sufficient conditions for the existence of the state observer are given using the average dwell time method. The optimal observer gain matrix is derived by solving convex optimization. On this basis, the zonotope and the state estimation interval containing states are given by the zonotopic method. Finally, the validity and feasibility of the proposed algorithm are demonstrated by a numerical example with the comparison result.

show abstract

Finite‐horizon estimation for 2‐D systems with time‐correlated multiplicative noises: A recursive iterative coupled estimator design

Wang,

Chen,

et al. 2024

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

This paper addresses the state estimation problem for a class of two‐dimensional shift‐varying systems with time‐correlated multiplicative measurement noises and additive noises. The time‐correlated multiplicative noises can be described as a linear system model corrupted by white noise. The main objective of this paper is to propose a recursive iterative coupled new‐type estimators and design the estimated gain reasonably to guarantee the minimum error covariance at each step. First, two new‐type coupling estimators are designed by introducing a new term. The unbiasedness of the two estimators are guaranteed by resorting to the mathematical inductive approach. Subsequently, an effective estimation is proposed given initial conditions. Moreover, the boundedness performance is investigated of the error covariance, and an upper bound is given based on the spectral norm. Finally, two numerical example are presented as an example to show the effectiveness of the estimation algorithm.

show abstract

Dynamic Event-Triggered Fusion Filtering for Multi-Sensor Rectangular Descriptor Systems With Random State Delay

Cited by 5 publications

References 47 publications

Constrained State Regulation Problem of Descriptor Fractional-Order Linear Continuous-Time Systems

Constrained State Regulation Problem of Descriptor Fractional-Order Linear Continuous-Time Systems

Set‐membership state estimation for delayed switched systems with fading measurement and interval uncertainty

Finite‐horizon estimation for 2‐D systems with time‐correlated multiplicative noises: A recursive iterative coupled estimator design

Contact Info

Product

Resources

About