Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
Parameter prediction with high precision is of great importance for real-time condition monitoring and fault diagnosis of the thermal system during variable load process. This paper presents a performance enhancement scheme for the extreme learning machine (ELM) to predict the operating parameters of the thermal system using particle swarm optimization (PSO). ELM is a feed-forward neural network with...
How to reduce the energy consumption of urban rail transit system is always the focus of attention. The automatic train operation(ATO) system operates trains between successive stations by controlling the speed automatically, which is very important for the train energy saving operation. The traditional ATO recommended speed curve optimization research is based on line information, train information...
In this paper, we consider an optimal parameter and state estimation problem arising in an one-dimensional (1D) magnetohydrodynamic (MHD) flow system, whose dynamics can be modeled by a coupled partial differential equations (PDEs). In this model, the coefficients of the Reynolds number and initial conditions as well as state variables are supposed to be unknown and need to be estimated. An adjoint-based...
In this paper, a new strategy combining the MDPSO (multimodal delayed particle swarm optimization) and continuous Bezier curve is developed for the global smooth path planning of mobile robots. Firstly, the preliminaries on Bezier curve and the MDPSO are briefly introduced. Secondly, the environment modeling is presented and the smooth path planning problem is mathematically formulated. Then, the...
A novel four quadrant operation control strategy of permanent magnet synchronous motor (PMSM) drive systems is proposed. In order to regulate precisely output direct current (DC) bus voltage and achieve the control of unity power factor, the exponential functional-based sliding mode reaching law (ESMRL), which adapts to the variations of the grid-side inverter and sliding mode surfaces, is developed...
In this paper, a slack variable-based control variable parameterization (CVP) method is proposed for solving engineering dynamic optimization problems with inequality path constraints. An improved slack variable transform technique is introduced so that the original problem is converted into an unconstrained dynamic optimization problem (uDOP). No approximation error generated and the inequality path...
Sound wave is the only medium that can propagate effectively over long distances in the ocean. Underwater acoustic data plays an important role in the study of computational ocean acoustics. But the computation in three-dimensional underwater acoustic propagation is time-consuming, which is difficult to meet the real-time demand. In this paper, we put forward parallelization and performance optimization...
This paper presents a particle swarm optimization (PSO) timing scheme for a single intersection and a bidirectional green wave coordination control scheme for an artery. The timing strategy is proposed to reduce vehicle delays based on Akcelik delay model at the intersection via adaptive particle swarm optimization (APSO) algorithm. The coordination control scheme is designed to make as many vehicles...
This work addresses the task of non-blind image deconvolution. Motivated to keep up with the constant increase in image size, with megapixel images becoming the norm, we aim at pushing the limits of efficient FFT-based techniques. Based on an analysis of traditional and more recent learning-based methods, we generalize existing discriminative approaches by using more powerful regularization, based...
This paper tackles the problem of finding the list of solutions with strictly increasing cost for the Semi-Assignment Problem. Four different algorithms are described and compared. The first two algorithms are based on a mathematical model and on a modification of Murty's algorithm, which was designed to find the list of solutions for the classical assignment problem. The third approach is a heuristic...
A convex-optimization approach to H2/H∞ Model-order Reduction (MoR) of continuous-time Linear Time-Invariant (LTI) systems is presented. The new numerical algorithm provides more information about the performance of the reduced-order model and generalizes the previous designs based upon H2 and H∞ norm minimization. Connection between the optimal projection methods and the proposed H2/H∞ algorithm...
In this paper, a continuous-time distributed optimization algorithm based on multi-agent system is proposed for solving the distributed least absolute deviation problems subject to hybrid constraints. In the multi-agent network, each of the L1-norm functions is realized using the projection operator. Meanwhile, each agent must be subject to the local hybrid constraints. Then all the agents constitute...
Since its beginning around 50 years ago [1], the research on biped robotics developed many successful prototypes, however the conventional strategies of gait generation and control have diverse performance issues. Between the promising alternatives of strategies is Optimal Control, which offers a clear definition of performance criteria and precise methods for achieving it. To highligh the possibilities...
Advances in technology and the need to meet many interdependent competing requirements have led to complex information intensive systems that can be best managed by integrating multi-discipline, multi-attribute models for better informed decision-making. Attempts to bridge the gap between systems engineering and project management have been sought through project management methods and through imposing...
In this paper, a version of the Honey Bees Mating Optimization (HBMO) algorithm is used in connection with the weekly optimal operation of a hydro-system including three reservoirs, two hydropower plants (HPPs) and a pumped storage plant (PSP), as the proposed project Fântânele-Tarniţa-Lăpuşteşti. Using the same mathematical model and input data, the results obtained by HBMO in 10 runs are compared...
This work contains the explanation of theoretical plans concerning the use various heuristic schemes of the solution of tasks of management in practical projects. In this case the uncertain factors are presented only by a finite set of historical data.
The systems and the software in the domain of industrial trucks are becoming increasingly complex due to the rapidly increasing demand for more functionality. This leads to an even faster rising effort for manual verification activities. Therefore, automated testing techniques need to be introduced into the verification process.In this work, a search-based test generation technique has been adapted...
A cruise and headway control strategy using distributed model predictive control, developed for a vehicle platooning application is proposed in this paper. The cruise control (i.e. driving the vehicle with a constant velocity demanded by the driver) is designed for the platoon's leading vehicle, whereas for the rest of the platoon, a headway control strategy is developed. Thus, the control objective...
Over the past few decades, there has been an increasing use of induction generator particularly in wind power applications. Induction generator needs reactive power for its excitation. In the case of stand alone operation this power can be provided by a capacitor bank connected to its terminals. In this mode of operation, the performances of the induction generator are unknown and have to be computed...
Texture reconstruction is the last step of 3D reconstruction pipelines that makes 3D geometry models very impressive and beautiful. Once the 3D model is created through structure-from-motion, multi-view stereo and mesh reconstruction, real image based texture is mapped to the models. But it is not easy to generate high quality texture. There are many difficulties cause problems: the large number of...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.