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Dual decomposition coupled with the subgradient method has found application to optimal resource management in communication networks, as it can lead to distributed and scalable algorithms. Network entities—nodes or functional layers—exchange Lagrange multipliers and primal minimizers of the Lagrangian function towards optimizing a network-wide performance metric. It is of interest to study the performance...
This paper addresses the problem of flat output characterization for switched linear systems along with an extension to LPV systems. A condition which has a polynomial complexity with respect to the dimension of the system and a practical approach for checking this condition are provided.
A Model Predictive Control (MPC) strategy for nonlinear Networked Control Systems (NCS) described by a polynomial plants subject to input, state constraints and data-losses is introduced. The results here proposed represent a significant extension to the polynomial framework of a recent Receding Horizon Control (RHC) scheme developed for input-saturated multi-model systems. Sum-of-Squares (SOS) conditions...
Data processing tasks are increasingly spread across the internet to account for the spatially distributed nature of many data sources. In order to use network resources efficiently, subtasks need to be distributed in the network so data can be filtered close to the data sources. Previous approaches to this operator placement problem relied on various heuristics to constrain the complexity of the...
In this paper we discuss the rescheduling of trains on a large-scale railway network in the case of perturbations using a max-plus-linear system description. We study the structure of the system matrices and derive how this structure can be manipulated by the control variables. In addition, we show that this leads to a system matrix that is affine in the control variables and the timing parameters...
Timeout control is a simple mechanism used when direct feedback is either impossible, unreliable, or too costly, as is often the case in distributed systems. Its effectiveness is determined by a timeout threshold parameter and our goal is to quantify the effect of this parameter on the system behavior. In this paper, we extend previous results to the case where there are N transmitting nodes making...
This paper deals with fast input-free partial state estimation for discrete-time LPV systems through functional observers. The system inputs are assumed to be unknown and then the observers reduce to functions of finite sequences of the output only. The existence of the observer is proved by resorting to both the notion of inverse system and the concept of maximal A-invariant subspaces. A constructive...
The paper focuses on a long standing problem which consists in identifying those time-delay systems which can be transformed into a delay-free system by a suitable change of state coordinates. Both linear and nonlinear systems are considered. It is shown that the so-called cyclic vectors introduced by Olbrot and co-workers are rehabilitated through the actual control inputs or through some virtual...
This paper deals with the input-to-state practical stabilization of nonlinear systems described by neutral functional differential equations in Hale's form, affine in the control input. An unknown, Lebesgue measurable, locally essentially bounded disturbance adding to the control law, which describes actuator and general control design errors, is considered. The Arstein-Sontag approach, integrated...
In this paper reachability/controllability properties for networked systems described by uncertain polytopic linear plants subject to time-varying state delays and input constraints are analyzed. Up to our best acknowledge, previous technical contributions on the matter were not been capable to properly address time-delay occurrences. To this end a new result making it possible to efficiently compute...
This paper addresses the output consensus problem of heterogeneous multi-agent systems. Specifically, we propose consensus algorithms that account for input saturations using only the available output measurements. Our approach takes roots from a simple design procedure built around ideal first order consensus schemes (full state availability and no input saturations) and extends to the more challenging...
We consider how local and global decision policies interact in quickest time change detection in multi-agent models of the order book. A monopolist market maker sets two-sided prices for an asset. The market evolves through the orders of trading agents. Agents observe local individual decisions of previous agents via an order book, combine these observed decisions with their noisy private signals...
Next generation Global Navigation Satellite Systems will open the door to a whole new field of applications, for example in Earth observation, construction, and safety-of-life navigation. This implies very high requirements not only on precision and availability, but also on reliability. Integer carrier phase ambiguity resolution is the key to (near) real-time and high-precision GNSS positioning and...
In this paper, we address the problem of sampled-data control design for continuous-time linear parameter varying (LPV) systems. The state-feedback control design method we develop in this paper relies on the information from the sampled states. Due to the combination of the system continuous-time dynamics and the controller discrete-time dynamics connected through A/D and D/A converter devices, the...
The effects of time delay in the continuous part of a pulse-modulated model of non-basal endocrine feedback regulation are investigated. Conditions for the existence and local orbital stability of periodical solutions with m impulses in the least period (m-cycles) are derived. Applied to the case of testosterone regulation in the human male, the model indicates that increasing time delays in the system...
This paper considers the stabilization problem for nonlinear retarded systems. The author has already proposed a finite spectrum assignment method for nonlinear retarded systems by extending the finite spectrum assignment for linear systems over commutative rings. In this paper, introducing a state predictor based on anticipating synchronization, we propose a new stabilization technique for nonlinear...
In this paper, a constrained consensus problem is studied in unbalanced networks in the presence of communication delays. Here each agent needs to lie in a closed convex set while reaching a consensus. The communication graphs considered are directed, dynamically changing, and not necessarily balanced and only the union of the graphs is assumed to be strongly connected among each time interval of...
Advanced motion vector prediction (AMVP) is one of the most important inter prediction coding tools adopted in the state-of-the-art HEVC coding standard, which does great effect on the coding efficiency. However, the current AMVP design is highly sequential and thus restricts the throughput both on the encoder and the decoder sides. To facilitate the parallel processing and enlarge the throughput,...
The Pre-FFT minimum mean square error (MMSE) antenna array (AA) can depress the large delay paths signal in multi-path fading channel by performing the spatial filtering to desired/undesired signals in time domain. For mobile OFDM application, the conventional AA scheme cannot render the system less sensitive to Doppler effects. In this paper, an AA scheme is derived to suppress both Doppler shift...
For real-time video streaming over unreliable networks, the losses or delay of the video packets may deteriorate the video quality at the receiver side. The traditional temporal error concealment methods try to guess the lost motion vectors (MVs) of the lost macro blocks (MBs) by exploiting the received motion information of the neighboring macroblocks, and that of the co-located macro block in the...
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