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Constrained Minimum Crest Factor Multisine Signals for "PlantFriendly" Identification of Highly Interactive Systems
 In: 13th IFAC Symp. on System Identification. Rotterdam
, 2003
"... Highly interactive systems are illconditioned and highly sensitive to model uncertainty, which imposes limitations to achievable closedloop performance. In this paper, the goal is to develop an identification testing framework meaningful to highly interactive systems based on the application of ..."
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Highly interactive systems are illconditioned and highly sensitive to model uncertainty, which imposes limitations to achievable closedloop performance. In this paper, the goal is to develop an identification testing framework meaningful to highly interactive systems based on the application of constrained minimum crest factor multisine signals.
OptimizationBased Design of PlantFriendly Input Signals Using Geometric Discrepancy Criteria
 14 th IFAC Symposium on System Identification (SYSID 2006
, 2006
"... Abstract: The design of constrained, “plantfriendly ” multisine input signals that optimize a geometric discrepancy criterion arising from Weyl’s Theorem is examined in this paper. Such signals are meaningful for datacentric estimation methods, where uniform coverage of the output statespace is c ..."
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Abstract: The design of constrained, “plantfriendly ” multisine input signals that optimize a geometric discrepancy criterion arising from Weyl’s Theorem is examined in this paper. Such signals are meaningful for datacentric estimation methods, where uniform coverage of the output statespace is critical. The usefulness of this problem formulation is demonstrated by applying it to a linear example and to the nonlinear, highly interactive distillation column model developed by Weischedel and McAvoy (1980). The optimization problem includes a search for both the Fourier coefficients and phases in the multisine signal, resulting in an uniformly distributed output signal displaying a desirable balance between high and low gain directions. The solution involves very little user intervention (which enhances its practical usefulness) and has significant benefits compared to multisine signals that minimize crest factor.
UNPUBLISHED
, 2005
"... AIChE shall not be responsible for statements or opinions contained in papers or printed in publications. The design of constrained, “plantfriendly ” multisine input signals that optimize a geometric discrepancy criterion arising from Weyl’s Theorem is examined in this paper. Such signals are meani ..."
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AIChE shall not be responsible for statements or opinions contained in papers or printed in publications. The design of constrained, “plantfriendly ” multisine input signals that optimize a geometric discrepancy criterion arising from Weyl’s Theorem is examined in this paper. Such signals are meaningful for datacentric estimation methods, where uniform coverage of the output statespace is critical. The usefulness of this problem formulation is demonstrated by applying it to a linear example and to the nonlinear, highly interactive distillation column model developed by Weischedel and McAvoy (1980). The optimization problem includes a search for both the Fourier coefficients and phases in the multisine signal, resulting in an uniformly distributed output signal displaying a desirable balance between high and low gain directions. The solution involves very little user intervention (which enhances its practical usefulness) and has significant benefits compared to multisine signals that minimize crest factor. The effectiveness of data resulting from a Weyl criterionbased signal for ModelonDemand Model Predictive Control (a datacentric multivariable control algorithm) is demonstrated for the distillation column case study.
M.W.: Constrained multisine input signals for plantfriendly identification of chemical process systems
, 2004
"... Abstract: This paper considers the use of constrained minimum crest factor multisine signals as inputs for plantfriendly identification testing of chemical process systems. The methodology presented here effectively integrates operating restrictions, informationtheoretic requirements, and stateof ..."
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Abstract: This paper considers the use of constrained minimum crest factor multisine signals as inputs for plantfriendly identification testing of chemical process systems. The methodology presented here effectively integrates operating restrictions, informationtheoretic requirements, and stateoftheart optimization techniques to design minimum crest factor multisine signals meeting important userspecified time and frequency domain properties. A series of optimization problem formulations relevant to problems in linear, nonlinear, and multivariable system identification are presented; these culminate with their application to the modeling of the WeischedelMcAvoy high purity distillation column problem, a demanding nonlinear and highly interactive system. The effectiveness of these signals for modeling for control purposes and the ability to incorporate a priori nonlinear models in the signal design procedure are demonstrated in this distillation system case study. Manuscript
Optimizationbased Design of PlantFriendly Multisine Signals using Geometric Discrepancy Criteria
"... Abstract. System identification is an important means for obtaining dynamical models for process control applications; experimental testing represents the most timeconsuming step in this task. The design of constrained, “plantfriendly ” multisine input signals that optimize a geometric discrepancy ..."
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Abstract. System identification is an important means for obtaining dynamical models for process control applications; experimental testing represents the most timeconsuming step in this task. The design of constrained, “plantfriendly ” multisine input signals that optimize a geometric discrepancy criterion arising from Weyl’s Theorem is examined in this paper. Such signals are meaningful for datacentric estimation methods, where uniform coverage of the output statespace is critical. The usefulness of this problem formulation is demonstrated by applying it to a linear problem example and to the nonlinear, highly interactive distillation column model developed by Weischedel and McAvoy. The optimization problem includes a search for both the Fourier coefficients and phases in the multisine signal, resulting in an uniformly distributed output signal displaying a desirable balance between high and low gain directions. The solution involves very little user intervention (which enhances its practical usefulness) and has great benefits compared to multisine signals that minimize crest factor. The constrained nonlinear optimization problems that are solved represent challenges even for highperformance optimization software.
A Novel Approach to PlantFriendly Multivariable Identification of Highly Interactive Systems
, 2004
"... AIChE shall not be responsible for statements or opinions contained in papers or printed in publications. ..."
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AIChE shall not be responsible for statements or opinions contained in papers or printed in publications.