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Decentralized Estimation Using Conservative Information Extraction
Sensor networks consist of sensors (e.g., radar and cameras) and processing units (e.g., estimators), where in the former information extraction occurs and in the latter estimates are formed. In decentralized estimation information extracted by sensors has been pre-processed at an intermediate processing unit prior to arriving at an estimator. Pre-processing of information allows for the complexity of large systems and systems-of-systems to be significantly reduced, and also makes the sensor network robust and flexible. One of the main disadvantages of pre-processing information is that information becomes correlated. These correlations, if not handled carefully, potentially lead to underest...
On Complexity Certification of Active-Set QP Methods with Applications to Linear MPC
In model predictive control (MPC) an optimization problem has to be solved at each time step, which in real-time applications makes it important to solve these efficiently and to have good upper bounds on worst-case solution time. Often for linear MPC problems, the optimization problem in question is a quadratic program (QP) that depends on parameters such as system states and reference signals. A popular class of methods for solving such QPs is active-set methods, where a sequence of linear systems of equations is solved. The primary contribution of this thesis is a method which determines which sequence of subproblems a popular class of such active-set algorithms need to solve, for every p...
Uncertainties in Neural Networks
In science, technology, and engineering, creating models of the environment to predict future events has always been a key component. The models could be everything from how the friction of a tire depends on the wheels slip to how a pathogen is spread throughout society. As more data becomes available, the use of data-driven black-box models becomes more attractive. In many areas they have shown promising results, but for them to be used widespread in safety-critical applications such as autonomous driving some notion of uncertainty in the prediction is required. An example of such a black-box model is neural networks (NNs). This thesis aims to increase the usefulness of NNs by presenting an...
Some results on closed-loop identification of quadcopters
In recent years, the quadcopter has become a popular platform both in research activities and in industrial development. Its success is due to its increased performance and capabilities, where modeling and control synthesis play essential roles. These techniques have been used for stabilizing the quadcopter in different flight conditions such as hovering and climbing. The performance of the control system depends on parameters of the quadcopter which are often unknown and need to be estimated. The common approach to determine such parameters is to rely on accurate measurements from external sources, i.e., a motion capture system. In this work, only measurements from low-cost onboard sensors ...
On Motion Planning Using Numerical Optimal Control
During the last decades, motion planning for autonomous systems has become an important area of research. The high interest is not the least due to the development of systems such as self-driving cars, unmanned aerial vehicles and robotic manipulators. In this thesis, the objective is not only to find feasible solutions to a motion planning problem, but solutions that also optimize some kind of performance measure. From a control perspective, the resulting problem is an instance of an optimal control problem. In this thesis, the focus is to further develop optimal control algorithms such that they be can used to obtain improved solutions to motion planning problems. This is achieved by combi...
Sensor Management for Target Tracking Applications
Many practical applications, such as search and rescue operations and environmental monitoring, involve the use of mobile sensor platforms. The workload of the sensor operators is becoming overwhelming, as both the number of sensors and their complexity are increasing. This thesis addresses the problem of automating sensor systems to support the operators. This is often referred to as sensor management. By planning trajectories for the sensor platforms and exploiting sensor characteristics, the accuracy of the resulting state estimates can be improved. The considered sensor management problems are formulated in the framework of stochastic optimal control, where prior knowledge, sensor models...
Reglerteknik
Denna bok introducerar ämnet reglerteknik på ett modernt sätt. Den är lämplig som litteratur för en grundkurs i reglerteknik på civilingenjörsprogram. Den täcker traditionella metoder baserade på - Laplacetransformen - Tillståndsbeskrivningar - Frekvensbeskrivningar I början av boken ligger fokus på enkla designmetoder som lambdainställning av PID-regulatorer och andra regulatorer med en intern modell. Möjligheter och begränsningar för dessa metoder diskuteras i detalj. Mer avancerade designmetoder baserade på polplacering, tillståndsåterkoppling, och rekonstruktion av tillstånd samt kompensering i frekvensplanet diskuteras också ingående i senare delar i boken. Boken ...
A Risk Worth Taking
Life has not turned out the way that Dan Porter had planned. He thought that when he married Jackie twenty-five years before, he would be providing for her and their family until he could retire to a small house on the Devon coast and sit with a smug smile on his face, knowing that he had not only done his bit to perpetuate the human race, but had achieved it with distinction. But life doesn't always turn out the way you imagine it will. Firstly, Jackie's little job turned into a high-powered executive position with a top fashion house which required most of her time and attention, leaving only a sliver of a moment for her parenting and home-making duties. Secondly, that he would suffer an out-of-character brainstorm, leave his safe job and start up a business on his own - but customers had not come rushing to his door. Dan becomes a house husband - and most of his time is spent studying his empty email inbox. Approaching fifty and having read a magazine article, he thinks of a new brainwave - to upsticks from London, buy a croft in Scotland and take over a mail order business with Jackie. The family are not amused...
Round Robin
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Record Breaker
It's 1963, and Jack's family is still reeling from the SIDS death of his baby sister. Adrift in his own life, Jack is convinced that setting a world record will bring his father back to his senses and his mother back to life. But world events, including President Kennedy's assassination, threaten to overshadow any record Jack tries to beat—from sausage eating to face slapping. Nothing works, and Jack is about to give up when a new friend suggests a different approach that involves listening to, not breaking, records.
