Optimal linear and nonlinear control design for chaotic systems

In this work, the linear and nonlinear feedback control techniques for chaotic systems were been considered. The optimal nonlinear control design problem has been resolved by using Dynamic Programming that reduced this problem to a solution of the Hamilton-Jacobi-Bellman equation. In present work the linear feedback control problem has been reformulated under optimal control theory viewpoint. The formulated Theorem expresses explicitly the form of minimized functional and gives the sufficient conditions that allow using the linear feedback control for nonlinear system. The numerical simulations for the Rössler system and the Duffing oscillator are provided to show the effectiveness of this method. Copyright © 2005 by ASME.

On a control design to an AFM microcantilever beam, operating in a tapping-mode, with irregular behavior

In last decades, control of nonlinear dynamic systems became an important and interesting problem studied by many authors, what results the appearance of lots of works about this subject in the scientific literature. In this paper, an Atomic Force Microscope micro cantilever operating in tapping mode was modeled, and its behavior was studied using bifurcation diagrams, phase portraits, time history, Poincare maps and Lyapunov exponents. Chaos was detected in an interval of time; those phenomena undermine the achievement of accurate images by the sample surface. In the mathematical model, periodic and chaotic motion was obtained by changing parameters. To control the chaotic behavior of the system were implemented two control techniques. The SDRE control (State Dependent Riccati Equation) and Time-delayed feedback control. Simulation results show the feasibility of the bothmethods, for chaos control of an AFM system. Copyright © 2011 by ASME.

Inovação em design: planejamento e estratégias para um parque tecnológico na região de Bauru - SP

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Semantic Methods for Intelligent Distributed Design Environments

Continuous advancements in technology have led to increasingly comprehensive and distributed product development processes while in pursuit of improved products at reduced costs. Information associated with these products is ever changing, and structured frameworks have become integral to managing such fluid information. Ontologies and the Semantic Web have emerged as key alternatives for capturing product knowledge in both a human-readable and computable manner. The primary and conclusive focus of this research is to characterize relationships formed within methodically developed distributed design knowledge frameworks to ultimately provide a pervasive real-time awareness in distributed design processes. Utilizing formal logics in the form of the Semantic Web’s OWL and SWRL, causal relationships are expressed to guide and facilitate knowledge acquisition as well as identify contradictions between knowledge in a knowledge base. To improve the efficiency during both the development and operational phases of these “intelligent” frameworks, a semantic relatedness algorithm is designed specifically to identify and rank underlying relationships within product development processes. After reviewing several semantic relatedness measures, three techniques, including a novel meronomic technique, are combined to create AIERO, the Algorithm for Identifying Engineering Relationships in Ontologies. In determining its applicability and accuracy, AIERO was applied to three separate, independently developed ontologies. The results indicate AIERO is capable of consistently returning relatedness values one would intuitively expect. To assess the effectiveness of AIERO in exposing underlying causal relationships across product development platforms, a case study involving the development of an industry-inspired printed circuit board (PCB) is presented. After instantiating the PCB knowledge base and developing an initial set of rules, FIDOE, the Framework for Intelligent Distributed Ontologies in Engineering, was employed to identify additional causal relationships through extensional relatedness measurements. In a conclusive PCB redesign, the resulting “intelligent” framework demonstrates its ability to pass values between instances, identify inconsistencies amongst instantiated knowledge, and identify conflicting values within product development frameworks. The results highlight how the introduced semantic methods can enhance the current knowledge acquisition, knowledge management, and knowledge validation capabilities of traditional knowledge bases.

Engineering model of future motor vehicles. Volume I. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Engineering model of future motor vehicles. Volume II: data book. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Design guidelines to enhance pedestrian and transit interaction.

Texas Department of Transportation, Austin

Research Safety Vehicle - phase III: final design report. Volume II: appendices.

National Highway Traffic Safety Administration, Washington, D.C.

Methodology for the design of urban transportation interface facilities. Final technical report. Executive summary.

Transportation Department, Office of University Research, Washington, D.C.

A procedural guide for the design of transit stations and terminals. Applications guide.

Transportation Department, Office of University Research, Washington, D.C.

Engineering model of future motor vehicles. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Diagnostic motor vehicle inspection demonstration projects, program engineering support. Volume 10 - appendix I: efficiency of facility designs employed. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Facilities engineering handbook.

Earlier ed. (1965) issued under title: Design criteria and construction standards.

Sustainable design practitioners: Why they must be at the centre of discussions on sustainable design education

Sustainable design education is vital for engineering students. This is to allow them to meet the challenges both engineering and the wider community will face in the future. This need has not only been mandated by Engineers Australia’s graduate attributes from an Australian perspective, but more widely the issue of sustainability is one of the greatest challenges humanity has ever faced. Engineers need to be at the forefront of this challenge, because we can not only do the greatest good, but have the potential to cause the greatest harm. The biggest question with respect to the education of engineers about sustainable design is what do engineers need to know, and how best to enable this learning. This paper argues that since the entire phenomenon of sustainable design is constantly growing and changing, it is only by looking at practitioners currently trying design sustainably, and their ways of experiencing sustainable design, can we hope to articulate what it is, and therefore what and how we need to teach engineering students. It also argues that to accommodate sustainable design within engineering, we need to go further and transform the engineering profession to enable it to meet the challenges that sustainability presents. © 2005, Australasian Association for Engineering Education