The main objective of this paper is to formulate an H ∞ memory filter that can guarantee the resulting filtering error system to be finite-time bounded.
The main objective of this paper is to formulate an H ∞ memory filter that can guarantee the resulting filtering error system to be finite-time bounded.
An memory filter is formulated that can guarantee the resulting filtering error system to be finite-time bounded and the quantisation effects are dealt by ...
This article proposes a fault-tolerant H∞ filtering method for fuzzy networked control systems with time-varying delays and quantization effects.
The issue of H∞ memory filter design is investigated for a class of discrete-time Takagi–Sugeno (T-S) fuzzy networked control systems with time-varying ...
In this paper, we will consider the problem of H ∞ filtering problem for a class of discrete-time networked nonlinear systems using measurement quantization.
In this paper, the problem of fault–tolerant H ∞ control for a class of networked control systems with randomly occurring missing measurements is ...
Missing: quantisation | Show results with:quantisation
Jul 31, 2023 · A new quantizer with an event-triggered strategy is designed to reduce the length and the number of the transmitted data packets, simultaneously.
Missing: quantisation | Show results with:quantisation
Oct 22, 2024 · This paper studies the robust H ∞ {H_{\infty}} filtering problem for the in-vehicle networked system with sensor failure, dynamics quantization ...
This paper concerns with the problem of fault detection for networked fuzzy systems. Considering the digital communication channel, quantization is adopted ...