Results 271 to 280 of about 633,663 (306)

Adaptive output feedback for plants with direct feedthrough

2016 IEEE 55th Conference on Decision and Control (CDC), 2016
In this paper, we present an adaptive output feedback controller using feedthrough components. This controller consists of an observer-based baseline controller with integral action and a closed-loop reference model and is shown to stabilize a class of linear plants with uncertain parameters including nonzero feedthrough matrices.
Marcel Menner, Anuradha M. Annaswamy, Alexander W. Zollitsch   +2 more
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Neural network application for direct feedback controllers

IEEE Transactions on Neural Networks, 1992
The author presents a learning algorithm and capabilities of perceptron-like neural networks whose outputs and inputs are directly connected to plants just like ordinary feedback controllers. This simple configuration includes the difficulty of teaching the network.
Yoshiaki Ichikawa, Toshiyuki Sawa
openaire   +2 more sources

Feedback directed modification of designs

Sixth Conference on Artificial Intelligence for Applications, 2002
Feedback-directed modification, a technique for efficiently improving the solution to a structure-sharing problem, is discussed. This technique uses an analysis of the solution to effect structural modifications to reduce resource usage. Efficiency is obtained through: the reuse of the previous solution and the addition of constraints to prevent ...
openaire   +1 more source

Direct feedback control design for nonlinear systems

Automatica, 2013
We propose an approach for the direct design from data of controllers finalized at solving tracking problems for nonlinear systems. This approach, called Direct FeedbacK (DFK) design, overcomes relevant problems typical of the standard design methods, such as modeling errors, non-trivial parameter identification, non-convex optimization, and difficulty
Carlo Novara, Lorenzo Fagiano, Mario Milanese   +2 more
openaire   +2 more sources

Lightweight feedback-directed cross-module optimization

Proceedings of the 8th annual IEEE/ACM international symposium on Code generation and optimization, 2010
Cross-module inter-procedural compiler optimization (IPO) and Feedback-Directed Optimization (FDO) are two important compiler techniques delivering solid performance gains. The combination of IPO and FDO delivers peak performance, but also multiplies both techniques' usability problems.
Xinliang David Li, Raksit Ashok, Robert Hundt   +2 more
openaire   +1 more source

Feedback directed optimization

1990
Optimization is a very important part of the design process. There are few design problems where concerns for either cost, quality, design time, etc., are not important. A great deal of time and design effort is spent on determining how to generate a solution that is optimized for a particular set of criteria, e.g., cost or time.
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Direct Field-Feedback Control

2018
With the rotor dynamics of PMSMs presented in Chap. 2 (Sect. 2.2), the conventional control methods for controlling the multi-DOF orientation of a PMSM are introduced at the beginning of this chapter.
Kun Bai, Kok-Meng Lee
openaire   +1 more source

Directives and Statistics Feedback

2017
In 11g there was a feature called Cardinality Feedback. This reoptimized (hard parsed) a query if the Cardinality Estimate of the final result was more than a certain factor out from the actual result. This was a nice simple feature that was easy to understand. If you saw this note at the end of an execution plan, you knew that Cardinality Feedback had
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Feedback gain indicates the preferred direction in optimal feedback control theory

2014 IEEE 13th International Workshop on Advanced Motion Control (AMC), 2014
We investigated the role of feedback gain in optimal feedback control (OFC) theory using a neuromotor system. Neural studies have shown that directional tuning, known as the “preferred direction” (PD), is a basic functional property of cell activity in the primary motor cortex (M1).
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Feedback-directed differential testing of interactive debuggers

Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018
To understand, localize, and fix programming errors, developers often rely on interactive debuggers. However, as debuggers are software, they may themselves have bugs, which can make debugging unnecessarily hard or even cause developers to reason about bugs that do not actually exist in their code.
Daniel Lehmann 0002, Michael Pradel
openaire   +1 more source