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- Control theory provides a systematic ap-proach to designing feedback loops that are stable in that they avoid wild oscil-lations, accurate in that they achieve objectives such as target response times for service level management, and settle quickly to their steady state values.
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Jan 18, 2018 · Self-adaptive software (SAS) systems monitor their own behavior and autonomously make dynamic adjustments to maintain desired properties in response to changes in the systems’ operational contexts. Control theory provides verifiable feedback models to realize...
- Marin Litoiu, Mary Shaw, Gabriel Tamura, Norha M. Villegas, Hausi A. Müller, Holger Giese, Romain Ro...
- 2017
- 1 Introduction
- 2 Control Theory Fundamentals
- 3 Application to Self-Tuning Memory Management of A Database System
- 4 Application to CPU Utilization Control in Distributed Real-Time Embedded Systems
- 5.2 Problem statement
- J = kW(y(k +1)−r(k +1))k2 +kQ(u(k)−u(k −1))k2. (19)
Feedback control is central to managing computing systems and networks. For ex-ample, feedback (or closed loop systems) is employed to achieve response time ob-jectives by taking resource actions such as adjusting scheduling priorities, memory allocations, and network bandwidth allocations. Unfortunately, computing practi-tioners typically employ a...
This section provides a brief overview of control theory for computer scientists with little background in the area. The focus is on key concepts and fundamental results. Disturbance Noise Input Input Reference Input Control +- Error Control Measured Input Output Controller Target System Transducer Transduced Output Fig. 1 Block diagram of a feedba...
This section describes a feedback control approach that achieves the optimization objective. We study such an approach in the context of memory management in IBM’s DB2 Universal Database Management System. The feedback controller man-ages memory allocation in real time to respond to workload variation and minimize system response time. Figure 4 sho...
Distributed real-time embedded (DRE) systems must control the CPU utilization of multiple processors to prevent overload and meet deadlines in face of fluctuat-ing workload. We present the End-to-end Utilization CONtrol (EUCON) algorithm that controls the CPU utilization of all processors in a DRE system by dynamically (a) OLTP throughput (b) Memor...
Considerthe system in Figure8, where N (N = 3)virtualizedserversare usedto host M 3-tier applications. When one or more of the virtualized servers become over-loaded, the workload management tool needs to dynamically allocate the shared server resources to individual tiers of the M applications in a coordinated fashion such that a specified level o...
The controller aims to steer the system into a state of optimum reference tracking, while penalizing large changes in the control variables. W ∈ ́O×O and Q ∈ ́V×V are weighting matrices on the tracking errors and the changes in the control actions, respectively. They are commonly chosen as diagonal matrices. Their relative magni-tude provides a t...
- 320KB
- Tarek Abdelzaher, Yixin Diao, Joseph L. Hellerstein, Chenyang Lu, Xiaoyun Zhu
- 33
- 2008
One of the purposes of control theory is to provably minimize the effect of the disturbances on the controlled output variables.
Overview. Authors: Steven A. Frank. Open access book illustrating key concepts and forming a basis for a tutorial on control theory programming in Mathematica. Takes a unique concept-focused approach to show readers how to understand the principles of control. Complements classic texts by emphasizing the simple conceptual unity of control.
Mar 19, 2013 · In the latest issue of the journal IEEE Transactions on Automatic Control, researchers from MIT’s Laboratory for Information and Decision Systems (LIDS) and a colleague at Georgia Tech show how to apply principles from control theory — which analyzes dynamical systems ranging from robots to power grids — to formal verification.
Précis. This book introduces the basic principles of control theory in a concise self-study tutorial. The chapters build the foundation of control systems design based on feedback, robustness, tradeoffs and optimization. The approach focuses on how to think clearly about control and why the key principles are important.
What is Control Theory? Let’s get some perspective and think about the world in terms of dynamical systems, whose state can be mathematically described through systems of ordinary differential equations (ODE’s). This has been a very effective way of modeling real-world phenomena such as the fluid flow over a wing, the population dynamics in a city or the spread of disease, the stock market ...
