Parameter design for signal-response systems: a different look at Taguchi's dynamic parameter design

Signal Design at lsolated lntersecaions Using Expert Systems Technology

The procedural steps for developing an expert system for designing signals at isolated intersections are described and the most important development issues for each step are discussed. The steps include problem analysis and definition, preliminary prototype specification, knowledge acquisition strategy development, prototype development plan, knowledge extraction, knowledge representation, too...

Experimental design for distributed parameter vector systems

We formulate an optimal design problem for the selection of best states to observe and optimal sampling times and locations for parameter estimation or inverse problems involving complex nonlinear nonlinear partial differential systems. An iterative algorithm for implementation of the resulting methodology is proposed.

Controller Design For Distributed Parameter Systems

Performance Measures in Dynamic Parameter Design

Dynamic parameter design introduced by Taguchi (1987) is one of the most important tool in quality engineering. It is also known as parameter design in signal-response systems (Miller and Wu, 1996; Wu and Hamada, 2000, chapter 11). The name suggests that the interest lies in a signal-response relationship rather than a single value of the response. Taguchi’s approach to dynamic parameter design...

Parameter Estimation in Distributed Systems: Optimal Design

We formulate a very general optimal design problem for the selection of best states to observe and optimal sampling times and locations (i.e., selections of what, when, and where to observe) for parameter estimation or inverse problems involving complex nonlinear partial differential systems. A theoretical framework along with a detailed iterative algorithm for implementation of the resulting m...