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The importance of static output feedback (OPFB) design for aircraft control, process control, and elsewhere has been well documented since the 1960s, since full state measurements are not usually available in practical systems. This problem is compounded in the case of multi-agent systems (MASs) where each agent has its own state variable and measured outputs. Therefore, this paper will focus on OPFB...
Cognitive radio is a promising technique in improving the utilization of wireless spectrum by spectrum sensing. However, conceivable spectrum sensing errors may deteriorate the quality of service provided for users. In this paper, we propose a framework to analyze the per-user throughput of both primary users and secondary users. Based on this framework, we further estimate how sensing errors influence...
In wireless sensor network (WSN), real-time network applications require good quality-of-service (QoS) guarantees, such as low packet delay and small backlog. Differentiated services (D-iffServ) mechanism is proposed to satisfy the QoS requirements in WSN. The stochastic characteristics need to be considered for the QoS performance analysis of DiffServ-based WSN. However, the existing works merely...
In hybrid wireless network (HWN), delay is always an important parameter to evaluate the QoS performance. Previous works have studied the average delay of all transmitted packets. However, QoS guarantee is commonly provided for a certain data flow. In this paper, a stochastic network calculus (SNC) based approach is proposed to analyze the stochastic end-to-end delay of a data flow through HWN. Linear...
An accurate and comprehensive delay and backlog performance evaluation is crucial for the quality of service (QoS) guarantee in cooperative communication. However, the classical deterministic network calculus and queueing theory is not suitable for the wireless networks due to their inherent random behaviors. For this aim, we employ stochastic network calculus to analyze the Amplify-and-Forward cooperative...
The moving horizon estimation (MHE) problem is investigated in this paper for a class of networked systems with packet dropouts. The packet dropout is described by a binary switching random sequence. The main purpose of this paper is to design a estimator such that, for all possible packet dropouts, the state estimation error sequence is convergent. By choosing a stochastic cost function, the optimal...
Multimedia sensor network (MSN) has been deployed in many fields owing to its reliability, flexibility and availability of multimedia data. Correspondingly more challenges draw into the QoS guarantee research. In this paper, we establish a comprehensive performance analytical framework for MSN considering both the traffic self-similarity and stochastic service curve of MSN with S-MAC protocol based...
There are kinds of Internet applications such as VoIP, online gaming and video Conferencing which need quality of service guarantees making the performance analysis critical, and the traffic of such applications usually exhibits the properties of self-similarity and heavy tail. In this paper, we use the generalized Stochastically Bounded Burstiness model to characterize the network traffic with self-similar...
This paper studies the guaranteed cost control problem of networked control systems with stochastic protocols. The plant is equipped with multiple actuator nodes. The communication process between the controller and the actuator nodes is governed by stochastic protocols and modeled as a stochastic sequence. The closed-loop networked control system is modeled as a switched system with stochastic switching...
Since the multi-innovation stochastic gradient (MISG) method can produce highly accurate parameter estimates for linear regression models, this paper extends the MISG method to nonlinear regression models and presents an MISG algorithm for Hammerstein nonlinear CAR (ARX) systems with memory less nonlinear blocks followed by controlled autoregressive models. The numerical results indicate that the...
An optimizing model for studying production- inventory policy with service level constraints is proposed. To realize the integrative decision of service level and production point, the service level in a supply chain is defined as the probability of satisfying product demand in each planning period. Inventory variation under stochastic demand is analyzed, and the average inventory in each planning...
This paper applies the multi-innovation identification theory to study the parameter estimation problem for CARMA models, and presents the multi-innovation extended stochastic gradient algorithm by expanding the scalar innovation to an innovation vector, and analyzes and proves the convergence properties of the algorithms involved. The simulation results show that the proposed algorithms are effective.
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