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Your search keyword '"Aslam, Muhammad Shamrooz"' showing total 2 results
Start Over Author "Aslam, Muhammad Shamrooz" Topic markovian jump linear systems
2 results on '"Aslam, Muhammad Shamrooz"'

1. Quantized dissipative filter design for Markovian switch T–S fuzzy systems with time-varying delays.

Author

Aslam, Muhammad Shamrooz and Li, Qianmu

Subjects
*TIME-varying systems, *FILTERS & filtration, *MEMBERSHIP functions (Fuzzy logic), *DESIGN techniques, *ERROR analysis in mathematics, *FUZZY systems, *MARKOVIAN jump linear systems
Abstract

This article presents the results on delay-dependent conditions of extended quantized T–S fuzzy filtering based on Markovian switch system (Q-FMSS) in the existence of communication delays via a channel. Different from the existing fuzzy filter, a new fuzzy filter is proposed to receive not only the quantized output of the system but also gets the quantized delay output. The purpose of this paper is to solve the H ∞ , L 2 - L ∞ , passive and dissipative filtering problems. The extended dissipative inequality contains several weighting matrices. By tuning the weighting matrices, the extended dissipativity will reduce to the H ∞ performance, L 2 - L ∞ performance, passivity and dissipativity, respectively. Another drive of this paper is to fully investigate the properties of Transition Rates (TRs) of Markovian switch system with Membership Function (MF) by implementing the novel fuzzy Markovian Lyapunov–Krasovskii functional to obtain the sufficient LMI conditions (delay dependent) for stochastically stability and performance analysis of resulting error system. Extended dissipativity notation is employed to resolve the resulting error system to consider the H ∞ , L 2 - L ∞ , dissipativity and passivity analyses, which are important for the power systems. Finally, a tunnel-diode example is given to elaborate the potentiality and effectiveness of the proposed design technique. [ABSTRACT FROM AUTHOR]

Published
2019
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2. Robust stability analysis for class of Takagi-Sugeno (T-S) fuzzy with stochastic process for sustainable hypersonic vehicles.

Author

Aslam, Muhammad Shamrooz, Tiwari, Prayag, Pandey, Hari Mohan, and Band, Shahab S.

Subjects
*ROBUST stability analysis, *STOCHASTIC processes, *INFRASTRUCTURE (Economics), *MARKOVIAN jump linear systems, *NONLINEAR systems, *SOCIAL sustainability
Abstract

Recently, the rapid development of Unmanned Aerial Vehicles (UAVs) enables ecological conservation, such as low-carbon and "green" transport, which helps environmental sustainability. In order to address control issues in a given region, UAV charging infrastructure is urgently needed. To better achieve this task, an investigation into the T–S fuzzy modeling for Sustainable Hypersonic Vehicles (SHVs) with Markovian jump parameters and H ∞ attitude control in three channels was conducted. Initially, the reentry dynamics were transformed into a control–oriented affine nonlinear model. Then, the original T–S local modeling method for SHV was projected by primarily referring to Taylor's expansion and fuzzy linearization methodologies. After the estimation of precision and controller complexity was assumed, the fuzzy model for jump nonlinear systems mainly consisted of two levels: a crisp level and a fuzzy level. The former illustrates the jumps, and the latter a fuzzy level that represents the nonlinearities of the system. Then, a systematic method built in a new coupled Lyapunov function for a stochastic fuzzy controller was used to guarantee the closed–loop system for H ∞ gain in the presence of a predefined performance index. Ultimately, numerical simulations were conducted to show how the suggested controller can be successfully applied and functioned in controlling the original attitude dynamics. [ABSTRACT FROM AUTHOR]

Published
2023
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