This correspondence is concerned with network-based $H_{infty}$ filtering for discrete-time systems. The output signals of the system under consideration are transmitted to the filter through a constraint communication network, which usually leads to network-induced delays and packet dropouts. By introducing a logic data packet processor to choose the newest data signal from the network to actuate the filter, network-induced delays and packet dropouts are modeled as a Markov chain taking values in a finite set. As a result, the filter to be designed is modeled as a Markov jumping linear filter. By introducing some slack matrix variables in terms of probability identity, a less conservative bounded real lemma (BRL) is derived to ensure that the filtering error system is stochastically stable with a prescribed $H_{infty}$ level. Based on this BRL, suitable $H_{infty}$ filters are designed by employing a cone complementary approach. A practical example on the Leslie model about some certain pest's structured population dynamics is given to show the effectiveness of the proposed approach.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :Quasi-Z-Source Network-Based Hybrid Power Supply System for Aluminum Electrolysis Industry - 2017ABSTRACT:A hybrid power supply system (HPSS) based mostly on the quasi-Z-supply network is proposed for aluminum electrolysis,
PROJECT TITLE :NetSpam: a Network-based Spam Detection Framework for Reviews in Online Social Media - 2017ABSTRACT:Today, a massive half of individuals depend on out there content in social media in their selections (e.g., reviews
PROJECT TITLE : Network-Based Modeling for Characterizing Human Collective Behaviors During Extreme Events - 2017 ABSTRACT: Modeling and predicting human dynamic behaviors within the face of stress and uncertainty can facilitate
PROJECT TITLE :Quasi-Sliding Mode Control With Orthogonal Endocrine Neural Network-Based Estimator Applied in Anti-Lock Braking SystemABSTRACT:This paper presents a brand new control technique for nonlinear discrete-time systems,
PROJECT TITLE :Development of a Driver Lateral Control Model by Integrating Neuromuscular Dynamics Into the Queuing Network-Based Driver ModelABSTRACT:This paper describes the event of a unique driver lateral management model

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry