Nonlinear control design method based on State-Dependent Riccati Equation (SDRE) via Quasi-Newton Method

Joe Imae; Hiroki Sagami; Tomoaki Kobayashi; Guisheng Zhai

doi:10.1109/cdc.2004.1428876

Nonlinear control design method based on State-Dependent Riccati Equation (SDRE) via Quasi-Newton Method

Joe Imae, Hiroki Sagami, Tomoaki Kobayashi, Guisheng Zhai

Research output: Contribution to journal › Conference article › peer-review

18 Citations (Scopus)

Abstract

The practicability of the nonlinear control design method based on state-dependent Ricatti equation (SDRE) was discussed using Quasi-Newton method. The design of a control system to control the swinging of a crane was analyzed. The numerical simulation and experiments with states x₀=[0 (3π)/8 0 0]^T were performed. Analysis shows that in SDRE based design, quasi-Newton algorithm works well when the vectorization technique is adopted.

Original language	English
Article number	WeC13.5
Pages (from-to)	2740-2741
Number of pages	2
Journal	Proceedings of the IEEE Conference on Decision and Control
Volume	3
DOIs	https://doi.org/10.1109/cdc.2004.1428876
Publication status	Published - 2004
Externally published	Yes
Event	2004 43rd IEEE Conference on Decision and Control (CDC) - Nassau, Bahamas Duration: 2004 Dec 14 → 2004 Dec 17

ASJC Scopus subject areas

Control and Systems Engineering
Modelling and Simulation
Control and Optimization

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10.1109/cdc.2004.1428876

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title = "Nonlinear control design method based on State-Dependent Riccati Equation (SDRE) via Quasi-Newton Method",

abstract = "The practicability of the nonlinear control design method based on state-dependent Ricatti equation (SDRE) was discussed using Quasi-Newton method. The design of a control system to control the swinging of a crane was analyzed. The numerical simulation and experiments with states x0=[0 (3π)/8 0 0]T were performed. Analysis shows that in SDRE based design, quasi-Newton algorithm works well when the vectorization technique is adopted.",

author = "Joe Imae and Hiroki Sagami and Tomoaki Kobayashi and Guisheng Zhai",

year = "2004",

doi = "10.1109/cdc.2004.1428876",

language = "English",

volume = "3",

pages = "2740--2741",

journal = "Proceedings of the IEEE Conference on Decision and Control",

issn = "0191-2216",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2004 43rd IEEE Conference on Decision and Control (CDC) ; Conference date: 14-12-2004 Through 17-12-2004",

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T1 - Nonlinear control design method based on State-Dependent Riccati Equation (SDRE) via Quasi-Newton Method

AU - Imae, Joe

AU - Sagami, Hiroki

AU - Kobayashi, Tomoaki

AU - Zhai, Guisheng

PY - 2004

Y1 - 2004

N2 - The practicability of the nonlinear control design method based on state-dependent Ricatti equation (SDRE) was discussed using Quasi-Newton method. The design of a control system to control the swinging of a crane was analyzed. The numerical simulation and experiments with states x0=[0 (3π)/8 0 0]T were performed. Analysis shows that in SDRE based design, quasi-Newton algorithm works well when the vectorization technique is adopted.

AB - The practicability of the nonlinear control design method based on state-dependent Ricatti equation (SDRE) was discussed using Quasi-Newton method. The design of a control system to control the swinging of a crane was analyzed. The numerical simulation and experiments with states x0=[0 (3π)/8 0 0]T were performed. Analysis shows that in SDRE based design, quasi-Newton algorithm works well when the vectorization technique is adopted.

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U2 - 10.1109/cdc.2004.1428876

DO - 10.1109/cdc.2004.1428876

M3 - Conference article

AN - SCOPUS:14244255894

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SP - 2740

EP - 2741

JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

M1 - WeC13.5

T2 - 2004 43rd IEEE Conference on Decision and Control (CDC)

Y2 - 14 December 2004 through 17 December 2004

ER -

Nonlinear control design method based on State-Dependent Riccati Equation (SDRE) via Quasi-Newton Method

Abstract

ASJC Scopus subject areas

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