30 research outputs found
Density Functions for Navigation-Function-Based Systems
In this paper, we present a scheme for constructing density functions for systems that are almost globally asymptotically stable (i.e., systems for which all trajectories converge to an equilibrium except for a set of measure zero) using navigation functions (NFs). Although recently proven converse theorems guarantee the existence of density functions for such systems, such results are only existential and the construction of a density function for almost globally asymptotically stable systems remains a challenging task. We show that for a specific class of dynamical systems that are defined based on an NF, a density function can be easily derived from the system’s underlying NF
Control Engineering
Control means a speci?c action to reach the desired behavior of a system. In the control of industrial processes generally technological processes, are considered, but control is highly required to keep any physical, chemical, biological, communication, economic, or social process functioning in a desired manner
Proceedings of the Workshop on Identification and Control of Flexible Space Structures, Volume 2
The results of a workshop on identification and control of flexible space structures held in San Diego, CA, July 4 to 6, 1984 are discussed. The main objectives of the workshop were to provide a forum to exchange ideas in exploring the most advanced modeling, estimation, identification and control methodologies to flexible space structures. The workshop responded to the rapidly growing interest within NASA in large space systems (space station, platforms, antennas, flight experiments) currently under design. Dynamic structural analysis, control theory, structural vibration and stability, and distributed parameter systems are discussed
Proceedings of the 3rd Annual Conference on Aerospace Computational Control, volume 1
Conference topics included definition of tool requirements, advanced multibody component representation descriptions, model reduction, parallel computation, real time simulation, control design and analysis software, user interface issues, testing and verification, and applications to spacecraft, robotics, and aircraft
Systems reliability issues for future aircraft
The reliability of adaptive controls for future aircraft are discussed. The research, formulation, and experimentation for improved aircraft performance are considered
System- and Data-Driven Methods and Algorithms
An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This first volume focuses on real-time control theory, data assimilation, real-time visualization, high-dimensional state spaces and interaction of different reduction techniques
Exponentially Stabilizing Division Controllers for Dyadic Bilinear Systems
It is difficult to asymptotically stabilize a dyadic bilinear system with only multiplicative control inputs when the open-loop dynamics are unstable. The previous approach of cascading a division controller with a constant-size dead zone can only stabilize but not asymptotically stabilize the system. This note proposes a new control design which cascades a division controller with a modified dead zone
whose size is proportional to the modulus of the system state. It is shown that this new division controller can globally and exponentially stabilize any open-loop unstable dyadic bilinear system as long as it is controllable
Using MapReduce Streaming for Distributed Life Simulation on the Cloud
Distributed software simulations are indispensable in the study of large-scale life models but often require the use of technically complex lower-level distributed computing frameworks, such as MPI. We propose to overcome the complexity challenge by applying the emerging MapReduce (MR) model to distributed life simulations and by running such simulations on the cloud. Technically, we design optimized MR streaming algorithms for discrete and continuous versions of Conway’s life according to a general MR streaming pattern. We chose life because it is simple enough as a testbed for MR’s applicability to a-life simulations and general enough to make our results applicable to various lattice-based a-life models. We implement and empirically evaluate our algorithms’ performance on Amazon’s Elastic MR cloud. Our experiments demonstrate that a single MR optimization technique called strip partitioning can reduce the execution time of continuous life simulations by 64%. To the best of our knowledge, we are the first to propose and evaluate MR streaming algorithms for lattice-based simulations. Our algorithms can serve as prototypes in the development of novel MR simulation algorithms for large-scale lattice-based a-life models.https://digitalcommons.chapman.edu/scs_books/1014/thumbnail.jp
New advances in vehicular technology and automotive engineering
An automobile was seen as a simple accessory of luxury in the early years of the past
century. Therefore, it was an expensive asset which none of the common citizen could
afford. It was necessary to pass a long period and waiting for Henry Ford to establish
the first plants with the series fabrication. This new industrial paradigm makes easy to
the common American to acquire an automobile, either for running away or for
working purposes. Since that date, the automotive research grown exponentially to the
levels observed in the actuality. Now, the automobiles are indispensable goods; saying
with other words, the automobile is a first necessity article in a wide number of
aspects of living: for workers to allow them to move from their homes into their
workplaces, for transportation of students, for allowing the domestic women in their
home tasks, for ambulances to carry people with decease to the hospitals, for
transportation of materials, and so on, the list don’t ends. The new goal pursued by the
automotive industry is to provide electric vehicles at low cost and with high reliability.
This commitment is justified by the oil’s peak extraction on 50s of this century and also
by the necessity to reduce the emissions of CO2 to the atmosphere, as well as to reduce
the needs of this even more valuable natural resource. In order to achieve this task and
to improve the regular cars based on oil, the automotive industry is even more
concerned on doing applied research on technology and on fundamental research of
new materials. The most important idea to retain from the previous introduction is to
clarify the minds of the potential readers for the direct and indirect penetration of the
vehicles and the vehicular industry in the today’s life. In this sequence of ideas, this
book tries not only to fill a gap by presenting fresh subjects related to the vehicular
technology and to the automotive engineering but to provide guidelines for future
research.
This book account with valuable contributions from worldwide experts of
automotive’s field. The amount and type of contributions were judiciously selected to
cover a broad range of research. The reader can found the most recent and
cutting-edge sources of information divided in four major groups: electronics (power,
communications, optics, batteries, alternators and sensors), mechanics (suspension
control, torque converters, deformation analysis, structural monitoring), materials (nanotechnology, nanocomposites, lubrificants, biodegradable, composites, structural
monitoring) and manufacturing (supply chains).
We are sure that you will enjoy this book and will profit with the technical and
scientific contents. To finish, we are thankful to all of those who contributed to this
book and who made it possible.info:eu-repo/semantics/publishedVersio