Parallel stochastic robustness synthesis for control system design

Wolfgang M. Schubert; Robert F. Stengel

Parallel stochastic robustness synthesis for control system design

Wolfgang M. Schubert, Robert F. Stengel

Mechanical & Aerospace Engineering

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

4 Scopus citations

Abstract

Stochastic Robustness Synthesis is used to evaluate compensator robustness numerically and to automate the design of stochastic optimal controllers. Monte Carlo Simulation (MCS) is applied to quantify robustness, and a Genetic Algorithm (GA) searches for the optimal controller. The overall algorithm is computationally expensive, and parallel computing is utilized to reduce execution times. Parallel Stochastic Robustness Analysis and Design (PSRAD) is introduced as a viable solution for real-time controller design. A Dynamic Scheduler is proposed to alleviate stochastic load imbalances. Results are presented for a shared-virtual-memory computer.

Original language	English (US)
Pages (from-to)	4429-4434
Number of pages	6
Journal	Proceedings of the American Control Conference
Volume	6
State	Published - 1995
Event	Proceedings of the 1995 American Control Conference. Part 1 (of 6) - Seattle, WA, USA Duration: Jun 21 1995 → Jun 23 1995

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Cite this

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title = "Parallel stochastic robustness synthesis for control system design",

abstract = "Stochastic Robustness Synthesis is used to evaluate compensator robustness numerically and to automate the design of stochastic optimal controllers. Monte Carlo Simulation (MCS) is applied to quantify robustness, and a Genetic Algorithm (GA) searches for the optimal controller. The overall algorithm is computationally expensive, and parallel computing is utilized to reduce execution times. Parallel Stochastic Robustness Analysis and Design (PSRAD) is introduced as a viable solution for real-time controller design. A Dynamic Scheduler is proposed to alleviate stochastic load imbalances. Results are presented for a shared-virtual-memory computer.",

author = "Schubert, {Wolfgang M.} and Stengel, {Robert F.}",

year = "1995",

language = "English (US)",

volume = "6",

pages = "4429--4434",

journal = "Proceedings of the American Control Conference",

issn = "0743-1619",

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

note = "Proceedings of the 1995 American Control Conference. Part 1 (of 6) ; Conference date: 21-06-1995 Through 23-06-1995",

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T1 - Parallel stochastic robustness synthesis for control system design

AU - Schubert, Wolfgang M.

AU - Stengel, Robert F.

PY - 1995

Y1 - 1995

N2 - Stochastic Robustness Synthesis is used to evaluate compensator robustness numerically and to automate the design of stochastic optimal controllers. Monte Carlo Simulation (MCS) is applied to quantify robustness, and a Genetic Algorithm (GA) searches for the optimal controller. The overall algorithm is computationally expensive, and parallel computing is utilized to reduce execution times. Parallel Stochastic Robustness Analysis and Design (PSRAD) is introduced as a viable solution for real-time controller design. A Dynamic Scheduler is proposed to alleviate stochastic load imbalances. Results are presented for a shared-virtual-memory computer.

AB - Stochastic Robustness Synthesis is used to evaluate compensator robustness numerically and to automate the design of stochastic optimal controllers. Monte Carlo Simulation (MCS) is applied to quantify robustness, and a Genetic Algorithm (GA) searches for the optimal controller. The overall algorithm is computationally expensive, and parallel computing is utilized to reduce execution times. Parallel Stochastic Robustness Analysis and Design (PSRAD) is introduced as a viable solution for real-time controller design. A Dynamic Scheduler is proposed to alleviate stochastic load imbalances. Results are presented for a shared-virtual-memory computer.

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M3 - Conference article

AN - SCOPUS:0029200283

SN - 0743-1619

VL - 6

SP - 4429

EP - 4434

JO - Proceedings of the American Control Conference

JF - Proceedings of the American Control Conference

T2 - Proceedings of the 1995 American Control Conference. Part 1 (of 6)

Y2 - 21 June 1995 through 23 June 1995

ER -

Parallel stochastic robustness synthesis for control system design

Abstract

All Science Journal Classification (ASJC) codes

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