In this paper, we study the distributed containment control problem for networked Lagrangian systems with multiple stationary or dynamic leaders in the presence of parametric uncertainties under a directed graph that ...
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In this paper, we study the distributed containment control problem for networked Lagrangian systems with multiple stationary or dynamic leaders in the presence of parametric uncertainties under a directed graph that characterizes the interaction among the leaders and the followers. When the leaders are stationary, a distributed adaptive control algorithm is proposed. We present a necessary and sufficient condition on the directed graph such that all followers converge to the stationary convex hull spanned by the stationary leaders asymptotically. As a byproduct, we show a necessary and sufficient condition on leaderless consensus for networked Lagrangian systems under a directed graph. When the leaders are dynamic, two cases are considered: i) The leaders have constant vectors of generalized coordinate derivatives;ii) The leaders have varying vectors of generalized coordinate derivatives. In the first case, we propose a distributed continuous estimator and a distributed adaptive control algorithm. In the second case, we propose a distributed adaptive control algorithm combined with distributed sliding-mode estimators. In both cases, a necessary and sufficient condition on the directed graph is presented such that all followers converge to the dynamic convex hull spanned by the dynamic leaders asymptotically.
A new two-layer multi-objective compatible control algorithm is proposed for a class of control problems with two conflicting control objectives, control error and energy consumption. The first layer is devoted to obt...
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A new two-layer multi-objective compatible control algorithm is proposed for a class of control problems with two conflicting control objectives, control error and energy consumption. The first layer is devoted to obtaining a user's desired controlled objectives region, assured to be not only achievable but also Pareto-optimal. The second layer is devoted to designing an effective controller by optimizing the most important controlled objective (such as the energy consumption), subject to system constraints from the controlled objectives region in the first layer. This control algorithm provides an effective robust controller design method for multi-objective control problems with precise models and uncertain initial conditions. Simulations illustrate that the two-layer multi-objective compatible control (MOCC) algorithm has some advantages over traditional multi-objective control methods.
A continuous and reliable electrical energy supply is the objective of any power system operation. A transmission line is the part of the power system where faults are most likely to happen. This paper describes the u...
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A continuous and reliable electrical energy supply is the objective of any power system operation. A transmission line is the part of the power system where faults are most likely to happen. This paper describes the use of the wavelet transform for analyzing power system fault transients in order to determine the fault location. Synchronized sampling was made possible by precise time receivers based on GPS time reference, and the sampled data were analyzed using wavelet transform. This paper describes a fault location monitoring system and fault locating algorithm with GPS, DSP processor, and data acquisition board, and presents some experimental results and error analysis.
Sharp conditions are given under which real-valued functions of several real variables can be approximated arbitrarily well by finite linear combinations of elliptic basis functions. Also given is a related result con...
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Sharp conditions are given under which real-valued functions of several real variables can be approximated arbitrarily well by finite linear combinations of elliptic basis functions. Also given is a related result concerning the representation of functions as a limit in the mean of integrals involving elliptic basis functions.< >
Color-depth cameras (RGB-D cameras) have become the primary sensors in most robotics systems, from service robotics to industrial robotics applications. Typical consumer-grade RGB-D cameras are provided with a coarse ...
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Today's multiagent systems have grown too complex to rely on centralized controllers, prompting increasing interest in the design of distributed algorithms. In this respect, game theory has emerged as a valuable t...
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ISBN:
(数字)9781728113982
ISBN:
(纸本)9781728113999
Today's multiagent systems have grown too complex to rely on centralized controllers, prompting increasing interest in the design of distributed algorithms. In this respect, game theory has emerged as a valuable tool to complement more traditional techniques. The fundamental idea behind this approach is the assignment of agents' local cost functions, such that their selfish minimization attains, or is provably close to, the global objective. Any algorithm capable of computing an equilibrium of the corresponding game inherits an approximation ratio that is, in the worst case, equal to its price-of-anarchy. Therefore, a successful application of the game design approach hinges on the possibility to quantify and optimize the equilibrium *** this end, we introduce the notion of generalized smoothness, and show that the resulting efficiency bounds are significantly tighter compared to those obtained using the traditional smoothness approach. Leveraging this newly-introduced notion, we quantify the equilibrium performance for the class of local resource allocation games. Finally, we show how the agents' local decision rules can be designed in order to optimize the efficiency of the corresponding equilibria, by means of a tractable linear program.
This article showcases the design and analysis of a staircase aperture loaded microstrip patch antenna (MPA) of dimension 28x23x1.6 mm3. The modelling and simulation are performed using Ansoft HFSS 18. The proposed an...
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Arithmetic circuits form the foundation of modern digital computation, enabling us to conduct precise mathematical operations and drive the digital age. They are integral components in nearly every digital circuit, su...
Arithmetic circuits form the foundation of modern digital computation, enabling us to conduct precise mathematical operations and drive the digital age. They are integral components in nearly every digital circuit, such as processors' arithmetic and logic units. Especially in safety-critical domains like automotive and aviation, the flawless operation of these circuits is of paramount importance. This paper presents a case study involving two variants of Dadda multipliers and assesses their intrinsic reliability when affected by permanent hardware faults. We conducted extensive fault injection campaigns on the circuit models under various datasets, presenting the aggregated statistical errors in the form of the mean absolute error (MAE) for each case. Specifically, we performed fault injection campaigns in which the operands are sourced from trained quantized weights of a convolutional neural network, as well as randomly generated sets of integers. The results not only reveal differences between the two circuits but also show significant variations when different datasets are used in the fault injection campaigns.
This paper is concerned with the application of U-parameter design method to a problem of "trajectory shaping." Three linearized models are assumed for an unpowered vehicle with modelling errors introduced b...
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This paper is concerned with the application of U-parameter design method to a problem of "trajectory shaping." Three linearized models are assumed for an unpowered vehicle with modelling errors introduced by variations in flight path angle. Corresponding to the three linearized models, three controllers, which are used in different flight phase, are designed by U-parameter theory. The three controllers guarantee that the vehicle motion, during its approach to target point, is robustly stable and is optimal at the nominal flight path in the sense that the step error response of resultant feedback control system is minimal in the mean square sense. Digital simulation results show that U-parameter design method can be successfully used to the problem
The problem of vehicle detection and segmentation in outdoor scenes is tackled. Vehicle shadows pose problems in vehicle segmentation step. In this paper, it is proposed to employ temporal edge density information as ...
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The problem of vehicle detection and segmentation in outdoor scenes is tackled. Vehicle shadows pose problems in vehicle segmentation step. In this paper, it is proposed to employ temporal edge density information as prior knowledge to distinguish moving vehicle from moving shadow and background in a traffic surveillance system. Experimental results showed good moving vehicle segmentation performance. The proposed approach is currently limited to free-flowing traffic scenes.
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