Optimal Measurement Methods for Distributed Parameter System IdentificationCRC Press, 27/08/2004 - 392 páginas For dynamic distributed systems modeled by partial differential equations, existing methods of sensor location in parameter estimation experiments are either limited to one-dimensional spatial domains or require large investments in software systems. With the expense of scanning and moving sensors, optimal placement presents a critical problem. |
Índice
| 1 | |
Key ideas of identification and experimental design | 9 |
Locally optimal designs for stationary sensors | 33 |
Locally optimal strategies for scanning and moving observations | 103 |
Measurement strategies with alternative design objectives | 153 |
Robust designs for sensor location | 173 |
Towards even more challenging problems | 201 |
Applications from engineering | 217 |
B Mathematical background | 251 |
C Statistical properties of estimators | 279 |
D Analysis of the largest eigenvalue | 289 |
E Differentiation of nonlinear operators | 297 |
F Some accessory results for partialdifferential equations | 303 |
G Interpolation of tabulated sensitivity coeffcients | 313 |
H Calculation of the differentials introduced in Section 433 | 321 |
I Solving sensorlocation problems using Maple and Matlab | 323 |
Conclusions and future research directions | 237 |
Appendices | 245 |
A List of symbols | 247 |
References | 339 |
| 367 | |
Outras edições - Ver tudo
Optimal Measurement Methods for Distributed Parameter System Identification Dariusz Ucinski Pré-visualização indisponível - 2019 |
Optimal Measurement Methods for Distributed Parameter System Identification Dariusz Ucinski Pré-visualização indisponível - 2004 |
Palavras e frases frequentes
algorithm applications applied approach approximation assume assumption Banach space boundary calculated called chapter coefficient Consequently considered constitutes constraints continuous convex corresponding criteria criterion defined definition denotes dependence derivative determine differentiable direction discrete distributed domain eigenvalue elements equal equation equivalent estimation Example exists experiment experimental design fact FIGURE formulation function given idea identified implement implies initial introduce linear mathematical matrix means measurements method minimization moving nonlinear Note observations obtained operator optimal optimal design optimum parameter performance positions possible practical probability problem procedure PROOF random respect satisfy scanning selected sensitivity sensor location simple situation solution solve space spatial Statistics Step support points techniques Theorem theory tion trajectories unknown values variables vector weights
Passagens conhecidas
Página 5 - IPC are: • to prevent or minimize the release of prescribed substances and to render harmless any such substances which are released; • to develop an approach to pollution control that considers discharges from industrial processes to all media in the context of the effect on the environment as a whole.
Página 346 - Activation policy of smart controllers for flexible structures with multiple actuator/sensor pairs. In A. El Jai and M. Fliess, editors, Proc. 14-th Int. Symp.
Página 368 - L. Pronzato, Qualitative and quantitative experiment design for phenomenological models— a survey, Automatica Vol.
Página 346 - Decreasing the sensitivity of open-loop optimal solutions in decision making under uncertainty, European J.
Página 344 - Model discrimination via designed experiments: Discriminating between the terminal and penultimate models on the basis of composition data. Macromolecules, 27, (1994), 386—399.
Página 356 - Distributed Parameter Systems: Theory and Applications", Oxford University Press, Oxford, 1989.
Referências a este livro
Intelligent Control Systems Using Computational Intelligence Techniques A.E. Ruano Pré-visualização limitada - 2005 |