Combinatorial chemistry with two or more diversity points often leads to an immense number of theoretical products. It is sensible to select the reagents based on the desired properties of the products in the hope of ...
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Combinatorial chemistry with two or more diversity points often leads to an immense number of theoretical products. It is sensible to select the reagents based on the desired properties of the products in the hope of maximizing the usefulness of the synthesized molecules. The presented tool enables the filtering of reagents such that any further reagent selection will form products matching the desired properties. Virtual combinatorial library leading to thousands of billions of products can be rapidly assessed. The publicly available software (http://*** ) and key algorithmic elements are discussed. less
Platooning has become one of the most appealing formations for intelligent vehicles safety enhancement and traffic regulation. Besides the traditional control algorithms, which are required to enforce at least local a...
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ISBN:
(纸本)9781538679012;9781538679265
Platooning has become one of the most appealing formations for intelligent vehicles safety enhancement and traffic regulation. Besides the traditional control algorithms, which are required to enforce at least local and string stability, more complex control schemes can be designed to cope with advanced requirements. In this paper, a suitable Distributed Model Predictive Control (DMPC) scheme, robustified with a second -order Integral Sliding Mode (ISM) correction term, is proposed to enforce and maintain coherence during cruising, while considering energy efficiency during acceleration/deceleration phases. While the former aspect has a complex impact on traffic regulation, especially when a large number of vehicles is considered, the latter is of primary importance in an increasingly eco-friendly transportation systems design. The proposed approach is well suited for real-world implementation, and can constitute a valid basis for more advanced control architectures. Simulation results highlight the effectiveness of the proposed architecture in maintaining the formation while guaranteeing a robust achievement of the required performance.
In this paper, a sliding mode control algorithm is proposed that allows a single, sensor enabled agent to navigate along the boundary of a contaminated region. The proposed control algorithm only requires knowledge of...
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ISBN:
(纸本)9781467360890
In this paper, a sliding mode control algorithm is proposed that allows a single, sensor enabled agent to navigate along the boundary of a contaminated region. The proposed control algorithm only requires knowledge of the local measurement of the scalar field. No gradient information is required for the spatial phenomenon and this distinguishes this work from much of the existing literature. The efficacy of the proposed approach is demonstrated using synthetic volcanic eruption dispersion data made available from a complex Lagrangian model.
This work deals with advanced control methods for marine turbocharged internal combustion diesel engines (ICDE) equipped with a wastegate. Two fundamentally different approaches are proposed for a wastegate control - ...
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ISBN:
(纸本)9781479932757
This work deals with advanced control methods for marine turbocharged internal combustion diesel engines (ICDE) equipped with a wastegate. Two fundamentally different approaches are proposed for a wastegate control - robust multivariable mixed-sensitivity and indirect output-based adaptive control. Robust multivariable controller design is rather common approach for internal combustion engines control that can be found from many papers, whilst indirect adaptive control is still novel in this area. This paper aims to determine the benefits and drawbacks of these control algorithms in their application for a wastegate control. A nonlinear model of diesel engine is derived and linearized for a control design. Both algorithms are then described, modeled and applied to this model.
In this paper we study the problem of deploying a team of flying robots to perform surveillance coverage missions over an unknown terrain of arbitrary morphology. In such a mission, the robots should simultaneously ac...
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ISBN:
(纸本)9781612848006
In this paper we study the problem of deploying a team of flying robots to perform surveillance coverage missions over an unknown terrain of arbitrary morphology. In such a mission, the robots should simultaneously accomplish two objectives: firstly, to make sure that the overall terrain is visible by the team and, secondly, that the distance between each point in the terrain and one of the robots is as small as possible. These two objectives should be efficiently fulfilled given the physical constraints and limitations imposed at the particular coverage application (i.e., obstacle avoidance, limited sensor capabilities, etc). As the terrain's morphology is unknown and it can be quite complex and non-convex, standard multi-robot coordination and control algorithms are not applicable to the particular problem treated in this paper. In order to overcome such a problem, a new approach that is based on the Cognitive-based Adaptive Optimization (CAO) algorithm is proposed and evaluated in this paper. Both rigorous mathematical arguments and extensive simulations on unknown terrains establish that the proposed approach provides an efficient methodology that can easily incorporate any particular constraints and quickly and safely navigate the robots to an arrangement that optimizes surveillance coverage.
Today's data centers are facing extreme challenges in providing low latency and high throughput simultaneously for their applications. However, the fair sharing congestion control algorithms, together with the has...
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ISBN:
(纸本)9781479913510
Today's data centers are facing extreme challenges in providing low latency and high throughput simultaneously for their applications. However, the fair sharing congestion control algorithms, together with the hash-based load balancing mechanisms, seriously impede the satisfaction of such requirements. In this paper, we use threshold-based signaling and marking schemes to seamlessly integrate load balancing with congestion control protocols. Through adaptive per-packet load balancing, we evenly split network traffic across multiple paths. Meanwhile, we adaptively react to ECN in the case of congestion, and prioritize flows according to their latency requirements. Using realistic data center workloads, we show that, compared to the state-of-the-art load balancing and TCP, our approach improves the application throughput and mean flow completion time by 30-50% and 40-80%, respectively.
In this paper, the Finite Control Set Model Predictive Control (FSC-MPC) is used to control the multi-level neutral point clamped converter of each station in a four-terminal VSC-based Multi-Terminal HVDC system (MTDC...
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ISBN:
(纸本)9781479902255
In this paper, the Finite Control Set Model Predictive Control (FSC-MPC) is used to control the multi-level neutral point clamped converter of each station in a four-terminal VSC-based Multi-Terminal HVDC system (MTDC). Three stations of MTDC are controlled to track desired reference power and one station is controlled to keep the DC side voltage in the desired value. The FCS-MPC controller is designed to keep a tradeoff between current tracking error, switching frequency and capacitor voltage balancing. The measurement and computation delay is considered by applying two steps ahead prediction in control algorithm. The validity of the proposed controller is confirmed by simulations.
This paper develops an adaptive control scheme for position and velocity tracking control of high speed trains under uncertain system nonlinearities and actuator failures. Neural networks with self-organizing capabili...
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ISBN:
(纸本)9781509006212
This paper develops an adaptive control scheme for position and velocity tracking control of high speed trains under uncertain system nonlinearities and actuator failures. Neural networks with self-organizing capabilities are integrated into control design, where the number of the neurons can be adjusted online automatically, so as not only to avoid the problem inherent in the NN with fixed structure but also to deal with system uncertainties containing of nonlinear in-train forces, traction-braking nonlinearities, as well as the unknown actuation faults. As such, the resultant control algorithms are able to achieve high precision train speed and position tracking under varying operation railway conditions, as validated by theoretical analysis and numerical simulations.
This paper presents a vector control of grid-connected three-level neutral point clamped voltage source converter (3L-NPC-VSC) connecting doubly-fed induction generator (DFIG) drives for variable-speed wind power gene...
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ISBN:
(纸本)9781424456062
This paper presents a vector control of grid-connected three-level neutral point clamped voltage source converter (3L-NPC-VSC) connecting doubly-fed induction generator (DFIG) drives for variable-speed wind power generation. The control algorithm of the grid-connected 3L-NPC-VSC applies the concepts of the decoupled vector control method, which provides independent control active and reactive power flow and maintain the dc-link voltage constant. The simulation results are shown dynamic and steady-state performance of the grid-connected 3L-NPC-VSC in mode sub-synchronous and super-synchronous speed at low switching frequency that compared with a conventional two-level voltage source converter (2L-VSC). The control strategy is verified by the simulation results with a good sinusoidal current, a low harmonic component and a fast dynamic response.
The kernel of the system is an intelligent control algorithm which can recognize precisely the whole dropping-process from launch module starting up to the miniature robots touching down and then determine whether the...
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ISBN:
(纸本)9781467397155
The kernel of the system is an intelligent control algorithm which can recognize precisely the whole dropping-process from launch module starting up to the miniature robots touching down and then determine whether the robot lands finally. The controller will activate a motor to realize the separation of parachute from the landed robot. This article, based on research into the principle of the system, proposes a control algorithm utilizing a 3-axis digital accelerometer. At last, the related experiments shows that the approach is effectual.
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