To deal with these uncertainties, optimum control systems that incorporate fuzzy
logic or neural networks must be used. Figure 1 shows an example of the
relationship between response-control system requirements and control principles
for structural safety evaluation of a response-control structure, and Fig. 2 shows a
flowchart of a control system that uses fuzzy optimal control, as an example [4,2]
.This systems uses fuzzy theory to make real-time predictions of earthquake ground
motion and obtain the response function from a combination of real-time structural
identification, a target response that satisfies the living comfort and safety of the
residents, and target control variables determined for economy and technology.
From this information, the fuzzy control method determines the optimum response.
3. Guideline for Safety Evaluation of Structural Response-Control
Buildings
Structural response-control technology for practical use in buildings is developed
mainly by private companies aiming to improve the living comfort against strong
winds or moderate earthquakes. Structural engineers, however, have not yet reached
a consensus on the design philosophy and safety of structural response-control
buildings, and a general social consensus of this type of new building is not yet to
be developed. Under this situations, it is desirable that safety evaluation procedures
of structural response-control buildings are established to not restrict but promote
the development of this technology.
