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Continued scaling of bulk CMOS technology is facing formidable challenges. As an alternative, FinFETs offer a promising solution for the 22nm technology node and beyond though they still suffer from process, voltage, and temperature (PVT) variations. Thus, in order to analyze the delay of FinFET logic circuits, statistical static timing analysis (SSTA) is more suitable than traditional static timing...
The testing, verification and evaluation of wireless systems is an important but challenging endeavor. The most realistic method to test a wireless system is a field deployment. Unfortunately, this is not only expensive but also time consuming. In this paper, we present the design and implementation of a digital wireless channel emulator, which connects directly to a number of radios, and mimics the...
For networked systems, the control law is typically subject to network flaws such as delays and packet dropouts. Hence, the time in between updates of the control law varies unexpectedly. Here, we present a stability theorem for nonlinear model predictive control with varying control horizon in a continuous time setting without stabilizing terminal constraints or costs. It turns out that stability...
Most modern processors have some much faster cache memories than a main memory, and therefore, it is important to effectively utilize it for the efficient execution. The cache memories work well through enhancing temporal or spatial localities in the program. Therefore, the cache efficiency can be improved by making accesses to the same array or structure continuous. We propose the new cache optimization...
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...
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...
We consider the problem of optimal distributed control with delayed information sharing over chain structures motivated by applications of heavy duty vehicle platooning. We introduce a novel approach to find distributed controllers that take into account communication delays and correlation between the dynamic interconnection. The design decomposes the solution into separate optimization problems...
Decentralized control of bilateral teleoperation systems with time delays is considered within the H2 optimization framework. We demonstrate that the problem is quadratically invariant and can be split into two independent model matching optimizations with partial multiplicative delay. The recent loop shifting techniques for delayed systems control are used then to find a complete analytical solution...
We analyze the convergence of gradient-based optimization algorithms that base their updates on delayed stochastic gradient information. The main application of our results is to gradient-based distributed optimization algorithms where a master node performs parameter updates while worker nodes compute stochastic gradients based on local information in parallel, which may give rise to delays due to...
Heavy industries operate equipment having a long life and rely on service parts to maintain operations. Often, stock levels for such parts are chosen to achieve fill rate goals, while supply chain performance is evaluated by speed of service. We resolve this disconnect by linking an existing discrete-event warehouse operations simulation with a new Monte Carlo demand categorization and metrics simulation...
The smart grid is envisioned to significantly enhance the efficiency of energy consumption, by utilizing two-way communication channels between consumers and operators. For example, operators can opportunistically leverage the delay tolerance of energy demands in order to balance the energy load over time, and hence, reduce the total operational cost. This opportunity, however, comes with security...
This work considers the problem of quickest detection of signals in a system of 2 sensors coupled by a negatively correlated noise, which receive continuous sequential observations from the environment. It is assumed that the signals are time invariant and with equal strength, but that their onset times may differ from sensor to sensor. The objective is the optimal detection of the first time at which...
While optimization models for traffic engineering in multi-service networks are known, survivability is a key issue not introduced so far in consideration in such models. In this paper, the novelty and contribution is that new optimization models that address the off-line survivability-supported Traffic Engineering (TE) problem in multi-service networks are presented. In such networks traffic demands...
In many applications it is desirable to deploy unmanned autonomous vehicles to remote real-world locations, at considerable distance from any fixed infrastructure, rendering direct communication impossible; for example in the Wilderness Search and Rescue (WiSaR) scenario. However, data transfer between such vehicles and other participants is required for control, safety, monitoring progress and sharing...
With the increasing popularity of mobile and energy-limited devices, the trend in the field of microprocessor design has shifted from high performance to low power operation. A common low power technique is reducing the supply voltage during periods of low utilization. However, this is limited by the safety margins needed to protect the processor from infrequent voltage glitches and environmental...
Power reduction is nowadays becoming the first consideration in VLSI design. Low power is one of major concerns in deeply scaled CMOS technologies. There have been many methods in very wide rang to achieve this objective. And the Register-Transfer level (RTL) has become the most effective stage in low power VLSI design, according to the significant power optimization impact and accurate power estimation...
In recent years, a number of high level applications have been reported to be tolerant to errors resulting from a sizable fraction of all single stuck-at faults in hardware. Production testing of devices targeted towards such applications calls for a test vector set that is tailored to maximize the coverage of faults that lead to functionally malignant errors while minimizing the coverage of faults...
In this paper, a maximum a posterior (MAP) based channel estimation algorithm is proposed to estimate both the temporal and spatial domain channel parameters for single-input multiple-output (SIMO) systems transmitting over an extended Saleh-Valenzuela (SV) channel. The proposed algorithm leverages on prior knowledge of the statistical distributions of signal clusters and rays within a cluster, and...
Wide Area Network monitoring has become increasingly important to deliver QoS demanded by customers of Skype, Facebook, Twitter etc or to detect/prevent attacks on networks carrying out sensitive tasks e.g. SCADA networks controlling the electrical grid. Unfortunately the task of monitoring paths becomes increasingly prohibitive as the size of the network increases. Fortunately, recent research has...
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