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Transactions of the Institute of Systems, Control and Information Engineers Vol. 13 (2000), No. 11

ISIJ International
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ONLINE ISSN: 2185-811X
PRINT ISSN: 1342-5668
Publisher: THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE)

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Transactions of the Institute of Systems, Control and Information Engineers Vol. 13 (2000), No. 11

Worst -Case l1 Identification Based on Correlation Analysis

Hiroaki FUKUSHIMA, Toshiharu SUGIE

pp. 487-493

Abstract

In this paper, we propose a new model set identification method which determines both nominal models and uncertainty bounds in l1 norm. This method, first, obtains estimates of the plant impulse response and their error bounds based on the correlation analysis using given experimental data and a low-correlated noise model. Since we consider the low-correlated input and noise, the error bounds of the impulse response estimates tend to zero as the number of data is increased. And then, a low order model and the nonparametric error bound in l1 norm are obtained by using the obtained impulse response estimates and the error bounds. Therefore, this method gives less conservative model sets when we have more experimental data, which is one of the distinguished features compared with most of the existing model set identification methods. Numerical examples show the effectiveness of the proposed method.

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Worst -Case l1 Identification Based on Correlation Analysis

Incoming and Outgoing Scheduling of a Multi-Story Mechanical Parking Facility

Hajime ASE, Toshihide IBARAKI, Mutsunori YAGIURA

pp. 494-503

Abstract

Multi-story mechanical parking facilities are becoming popular in crowded cities, as they are spatially efficient. When many cars are waiting to enter or to leave, it is important to schedule the movement of two rail-mounted automated carriers on each floor so that the makespan is minimized. We consider the problem of finding an optimal schedule when an ordered set of car placing and car removing is given. We propose an exact algorithm based on dynamic programming, and approximate algorithms using metaheuristics.

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Incoming and Outgoing Scheduling of a Multi-Story Mechanical Parking Facility

Existence and Numerical Solution for Norm-Type Algebraic Riccati Equations

Michio KONO, Nobuya TAKAHASHI, Kenji HIRANUMA, Osamu SATO

pp. 504-510

Abstract

This paper considers a continuous algebraic Riccati equation with an additional norm-type term. This equation is called a norm-type algebraic Riccati equation and arises in guaranteed cost control on the basis of a norm-type upper bound. It is shown that there exists a solution under the stabilizability condition and the assumption that the additional term is not too large. Also, the well-known Kleinman's algorithm is extended to this case.

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Existence and Numerical Solution for Norm-Type Algebraic Riccati Equations

Improving Transient Responses with Compensation Law

Tomonori IZUMI, Akira KOJIMA, Shintaro ISHIJIMA

pp. 511-518

Abstract

In the synthesis of tracking control systems, the compensation signal, which is applied in the finite-horizon time, is effective for improving the performance of controlled system. In this paper, a design method of finite-horizon compensation signal and optimal internal state of controller is discussed for stabilized systems. By characterizing the singular-value problem for correspondingly defined Hankel operator, it is shown that the internal state and the compensation signal, which attains favorable transient, is constructively given based on the combination of singular vectors. The strength and the limitation of applying the compensation signal are illustrated with numerical examples.

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Improving Transient Responses with Compensation Law

H Preview Tracking in Output Feedback Setting

Akira KOJIMA, Shintaro ISHIJIMA

pp. 519-525

Abstract

Performance of preview control is investigated in terms of H-criterion. In the output feedback setting, a preview H problem is discussed and the analytic solution is characterized with finite-dimensional operations. The strength and limitation of preview H performance are illustrated with numerical examples.

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H Preview Tracking in Output Feedback Setting

A Better Encoding Scheme for the Partial Enumeration Selection Method in Genetic Algorithms

Carlos BRIZUELA, Nobuo SANNOMIYA

pp. 526-528

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Article Title

A Better Encoding Scheme for the Partial Enumeration Selection Method in Genetic Algorithms

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