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A Result for Orthogonal Plus Rank-1 Matrices

In this paper the sum of an orthogonal matrix and an outer product is studied, and a relation between the norms of the vectors forming the outer product and the singular values of the resulting matrix is presented. The main result may be found in Theorem 1.

Principles and Patterns of JastAdd-Style Reference Attribute Grammars

Reference attribute grammars (RAGs) have reached a level of maturity where they are supported by several tools, and have gained traction in both academic and industrial language tool development. However, despite a lot of accumulated knowledge of how to best develop RAGs in practice, there is limited support to guide practitioners.In this paper, we address this issue by focusing on one RAG tool, J

Operator splitting performance estimation : Tight contraction factors and optimal parameter selection

We propose a methodology for studying the performance of common splitting methods through semidefinite programming. We prove tightness of the methodology and demonstrate its value by presenting two applications of it. First, we use the methodology as a tool for computerassisted proofs to prove tight analytical contraction factors for Douglas-Rachford splitting that are likely too complicated for a

MSE-optimal measurement dimension reduction in gaussian filtering

We present a framework for measurement dimension reduction in Gaussian filtering, defined in terms of a linear operator acting on the measurement vector. This operator is optimized to minimize the Cramér-Rao bound of the estimate's mean squared error (MSE), yielding a measurement subspace from which elements minimally worsen the filter MSE performance, as compared to filtering with the original me

Do preparatory programming lab sessions contribute to even work distribution in student teams?

Unfair work distribution is common in project-based learning with teams of students. One contributing factor is that students are differently skilled developers. To mitigate the differences in a course with group work, we introduced mandatory programming lab sessions. The intervention did not affect the work distribution, showing that more is needed to balance the workload. Contrary to our goal, t

INTERNET OF THINGS AS A COMPLEMENT TO INCREASE SAFETY

Safety evaluations made in the city Helsingborg indicate a decreased risk of being exposed to crime, but an increased feeling of unsafe. Damage in the form of scribbling (graffiti) is one of several indicators contributing to feeling unsafe. In this paper we investigate whether the use of Internet­-of-­things technology, where a sensor monitors a walking and cycling tunnel, makes it possible to re

On LQG-Optimal Event-Based Sampling

Event-based control is a promising concept for the design of resource-efficient feedback systems, where events such as sampling, actuation, and data transmissions are triggered reactively based on monitored control performance rather than a periodic timer. In this thesis, we investigate how sampling and communication events should be triggered to fully exploit the potential of event-based control

Neural-Network-Based Adaptive Control for Bilateral Teleoperation with Multiple Slaves under Round-Robin Scheduling Protocol

A neural-network-based adaptive control scheme is developed for bilateral teleoperation systems with single-master-multiple-slaves in the presence of dynamic uncertainties and communication constraint. Discrete-time data transmitting communication network with bandwidth limitation and time-varying communication delays is considered and the Round-Robin scheduling protocol is used to orchestrate the

Methods for identifying aged ship plumes and estimating contribution to aerosol exposure downwind of shipping lanes

Ship traffic is a major source of aerosol particles, particularly near shipping lanes and harbours. In order to estimate the contribution to exposure downwind of a shipping lane, it is important to be able to measure the ship emission contribution at various distances from the source. We report on measurements of atmospheric particles 7-20 km downwind of a shipping lane in the Baltic Se

Realizability and internal model control on networks

It is proved that network realizability of controllers can be enforced without conservatism using convex constraints on the closed loop transfer function. Once a network realizable closed loop transfer matrix has been found, a corresponding controller can be implemented using a network structured version of Internal Model Control.

Optimality interpretations for atomic norms

Atomic norms occur frequently in data science and engineering problems such as matrix completion, sparse linear regression, system identification and many more. These norms are often used to convexify non-convex optimization problems, which are convex apart from the solution lying in a non-convex set of so-called atoms. For the convex part being a linear constraint, the ability of several atomic n

Sparsity-constrained optimization of inputs to second-order systems

We propose an efficient algorithm, that given a strictly proper, second-order system, finds a sparse input signal so that the system's output optimally approximates a given trajectory in least-squares sense. As an illustration, we apply the algorithm to an estimation problem from medicine.

Using Radial Basis Functions to Approximate the LQG-Optimal Event-Based Sampling Policy

A numerical method based on radial basis functions (RBF) has been developed to find the optimal event-based sampling policy in an LQG problem setting. The optimal sampling problem can be posed as a stationary partial differential equation with a free boundary, which is solved by reformulatingthe optimal RBF approximation as a linear complementarity problem (LCP). The LCP can be efficiently solved

Towards real-time ADMM for linear MPC

We present a novel predictive control scheme for linear constrained systems that uses the alternating direction method of multipliers (ADMM) for online optimization. In contrast to existing works on ADMM-based model predictive control (MPC), we only consider a single ADMM-iteration in every time step. The resulting real-time ADMM scheme is tailored for embedded and fast MPC implementations. The ma

Threats and protection of on-chip test features throughout the lifetime of Integrated Circuits

The development and manufacturing process for Integrated Circuits (ICs) has become complex and globally distributed. System integrators use a mix of custom made logic with third-party Intellectual Property (IP) blocks, untrusted software tools, and external actors for manufacturing, post-production test, and validation. The many untrusted actors involved throughout the IC’s lifetime become a secur

Regression Testing in Software Product Line Engineering

Software product line engineering is an approach to cost-efficiently derive tailored products to markets and customers, utilizing common components and services in a planned manner. Product lines have been applied to other engineering fields for decades, while being quite recently introduced in software engineering. For software product lines, productivity gains are mostly related to the developme

Ultra low power transceivers for wireless sensors and body area networks

A transceiver suitable for devices in wireless body area networks is presented. Stringent requirements are imposed by the high link loss between opposite sides of the body, about 85 dB in the 2.45 GHz ISM band. Despite this, minimum physical size and power consumption are required, and we target a transceiver with 1 mm2 chip area, 1 mW active power consumption, and data rate 250 kbit/s. The receiv

A 28 GHz SiGe PLL for an 81-86 GHz E-band beam steering transmitter plus an I/Q phase imbalance detection and compensation circuit

This paper presents two circuits, a complete 1.5 V 28 GHz SiGe beam steering PLL and a standalone 28 GHz QVCO with I/Q phase imbalance detection and compensation. The circuits were designed in a SiGe process with f T = 200 GHz. The PLL is intended to be used for beam steering in an 81–86 GHz E-band transmitter. Phase control is implemented by DC current injection at the output of a Gilbert archite

Analysis of Linear L1 Adaptive Control Architectures for Aerospace Applications

In some situations the closed-loop system obtained by L1 adaptive control is equivalent to linear systems. The architectures of these systems are investigated and compared with internal model control and the input observer architecture. The analysis is focused on aerospace application. An effort has been made to understand and describe what fundamental control characteristic of flying applications