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Journal ArticleDOI

Control of large-scale dynamic systems by aggregation

TLDR
Using the quantitative definition of weak coupling proposed by Milne, a suboptimal control policy for the weakly coupled system is derived and questions of performance degradation and of stability of such suboptimally controlled systems are answered.
Abstract
A method is proposed to obtain a model of a dynamic system with a state vector of high dimension. The model is derived by "aggregating" the original system state vector into a lower-dimensional vector. Some properties of the aggregation method are investigated in the paper. The concept of aggregation, a generalization of that of projection, is related to that of state vector partition and is useful not only in building a model of reduced dimension, but also in unifying several topics in the control theory such as regulators with incomplete state feedback, characteristic value computations, model controls, and bounds on the solution of the matrix Riccati equations, etc. Using the quantitative definition of weak coupling proposed by Milne, a suboptimal control policy for the weakly coupled system is derived. Questions of performance degradation and of stability of such suboptimally controlled systems are also answered in the paper.

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Citations
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Journal ArticleDOI

Model complexity and data worth: An assessment of changes in the global carbon budget

TL;DR: In this article, a series of Monte Carlo tests were performed, using as the generating model a nonlinear global carbon cycle model from which multiple 100-year global carbon scenarios were produced.
Journal ArticleDOI

A quotient space analysis of aggregated models

TL;DR: In this paper, the aggregation method in model reduction is reexamined using a quotient space approach and the controllability of the aggregated model is then easily established.
Journal ArticleDOI

An Eagle Strategy Arithmetic Optimization Algorithm for Frequency Stability Enhancement Considering High Renewable Power Penetration and Time-Varying Load

TL;DR: In this paper , a new optimization technique, known as the eagle strategy arithmetic optimization algorithm (ESAOA), is proposed to address the limitations of the original algorithm called arithmetic optimization (AOA), which includes an eagle strategy to avoid premature convergence and increase the populations efficacy to reach the optimum solution.
References
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Journal ArticleDOI

Decomposition Principle for Linear Programs

TL;DR: A technique is presented for the decomposition of a linear program that permits the problem to be solved by alternate solutions of linear sub-programs representing its several parts and a coordinating program that is obtained from the parts by linear transformations.

Contributions to the theory of optimal control

R. E. Kalman
TL;DR: In this article, the authors considered the problem of least square feedback control in a linear time-invariant system with n states, and proposed a solution based on the concept of controllability.
Journal ArticleDOI

On "A method for simplifying linear dynamic systems"

TL;DR: A method is proposed for reducing large matrices by constructing a matrix of lower order which has the same dominant eigenvalues and eigenvectors as the original system.
Journal ArticleDOI

Estimation of the state vector of a linear stochastic system with a constrained estimator

TL;DR: In this article, a constructive design procedure for the problem of estimating the state vector of a discrete-time linear stochastic system with time-invariant dynamics when certain constraints are imposed on the number of memory elements of the estimator is presented.
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