This paper studies distributed algorithms for performing graph rearrangements that preserve the connectivity of a robotic network. Given a connected graph describing the topology of the network, preserving a fixed set...
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ISBN:
(纸本)9781424414970;1424414970
This paper studies distributed algorithms for performing graph rearrangements that preserve the connectivity of a robotic network. Given a connected graph describing the topology of the network, preserving a fixed set of edges while performing a coordination task guarantees that connectivity is maintained. However, the preservation of a fixed set of edges often results in suboptimal and over-constrained robot operation. This paper presents a distributed algorithm to perform graph rearrangements that allow the robotic network to transform its interconnection topology between any two trees. We present a method for composing this algorithm with other control algorithms, and make preference guarantees about the choices of links to be preserved under the resulting composition. We use these ideas to propose a distributed formation morphing algorithm, and characterize its time complexity.
A major step in the process of designing the controllers of a distribution systems is to test the performance of the controller devices. Testing the controllers with a traditional hardware-based real-time simulator is...
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ISBN:
(纸本)9781509041695
A major step in the process of designing the controllers of a distribution systems is to test the performance of the controller devices. Testing the controllers with a traditional hardware-based real-time simulator is an effective approach for validation of the controllers. However, it is very costly. This paper introduces a software-based real-time simulator, which is a simple but useful tool for evaluating the controller hardware that will eventually implement the control algorithms in the field. In the proposed structure, the distribution system is simulated in PSCAD (an offline power system simulator) and the control algorithms are implemented in a physical controller hardware. An algorithm is proposed to enforce PSCAD to run in real-time under certain conditions. Therefore, the developed interfacing structure and real-time enforcement scheme provide a hardware-in-the-loop (HIL) real-time simulation tool that can test the performance of controllers in a system. The proposed simulator is validated by several experimental case studies.
Relay Nodes (RNs) introduction is one of the main features of LTE-Advanced (LTE-A) with the aim of enhancing network coverage and capacity at cell-edge. However, a proper admission control scheme is required to increa...
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Relay Nodes (RNs) introduction is one of the main features of LTE-Advanced (LTE-A) with the aim of enhancing network coverage and capacity at cell-edge. However, a proper admission control scheme is required to increase the total number of admitted users in the system. This work proposes the implementation and evaluation of three types of admission control schemes taking into account the optimal resource partitioning between RNs and DeNB. The first scheme bases the admission and rejection of users on the resources' availability. The second scheme adds an admission control algorithm based on users' priorities. Finally, the third scheme introduces a dynamic buffer in order to utilize the free resources during the empty arrival periods and to further improve the performance. Performance analysis of the proposed admission control algorithms for different download bit rates and file size is performed through simulations. The optimal buffer configuration that minimizes the probability of unhappy users is determined.
In this paper, a non-equilibrium transient trajectory shaping (NETTS) nonlinear control method is presented for a class of single-input-single-output (SISO) strict feedback nonlinear systems, with the control input ma...
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ISBN:
(纸本)9781424477456
In this paper, a non-equilibrium transient trajectory shaping (NETTS) nonlinear control method is presented for a class of single-input-single-output (SISO) strict feedback nonlinear systems, with the control input magnitude and rate of change constraints being considered. Based on a set of Barrier Lyapunov Functions with an input signal constraint pre-estimation mechanism, the non-equilibrium transient trajectory shaping control technique can render the system tracking error transient trajectory travels within a shaped boundary while approaching zero. In such a method, by choosing the chain of barriers and the converging speed properly, the control input magnitude constraint can be met. Control signal continuous approximation and switching buffer size design methods are given as well to accommodate the input rate of change limit. Through a numerical example, the effectiveness of the proposed NETTS control technique is demonstrated by comparisons with different control algorithms.
This paper addresses the problem of hysteresis and presents a new control scheme for hysteresis compensation of piezo-electrically actuated micro-nano manipulators. The technology employs an Inverse Dahl model based f...
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ISBN:
(纸本)9781479902255
This paper addresses the problem of hysteresis and presents a new control scheme for hysteresis compensation of piezo-electrically actuated micro-nano manipulators. The technology employs an Inverse Dahl model based feed-forward mechanism in combination with a feedback control algorithm along with simultaneous voltage and displacement dither strategy. The actuator performance is seen to improve as a function of injected noise level into the plant - a phenomenon known as dithering. The notion of stochastic resonance for nano positioning is studied to determine the optimal dither level for efficient plant performance. The efficacy of the proposed control scheme has been confirmed through rigorous simulations in terms of two specific tests - a) tracking error test and b) hysteresis curve area test. Results show an enhanced positioning precision of the manipulator with the proposed dither control than without it. Owing to its algorithmic simplicity, the proposed control genre can be extended to the parlance of other nano-scale applications.
We present decentralized algorithms for a class of stochastic and dynamic vehicle routing problems, known as the multiple-vehicle Dynamic Traveling Repairperson Problem (m-DTRP), in which demands arrive randomly over ...
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ISBN:
(纸本)9781424414970;1424414970
We present decentralized algorithms for a class of stochastic and dynamic vehicle routing problems, known as the multiple-vehicle Dynamic Traveling Repairperson Problem (m-DTRP), in which demands arrive randomly over time and their locations have an arbitrary distribution, and the objective is to minimize the average waiting time between the appearance of a demand and the time it is visited by a vehicle. The best previously known control algorithms rely on centralized, a-priori task assignment, and are therefore of limited applicability in scenarios involving large ad-hoc networks of autonomous vehicles. By combining results from geometric probability and locational optimization, we provide a policy that solves, providing a constant-factor approximation to the optimal achievable performance, the decentralized version of the m-DTRP;such policy (i) does not rely on centralized and a priori task assignment, (ii) is spatially distributed, scalable to large networks, and adaptive to network changes. Simulation results are presented and discussed.
This work aims at developing a distributed power control algorithm for energy efficiency maximization (measured in bit/Joule) in wireless networks. Unlike most previous works, a new formulation is proposed to jointly ...
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This work aims at developing a distributed power control algorithm for energy efficiency maximization (measured in bit/Joule) in wireless networks. Unlike most previous works, a new formulation is proposed to jointly account for the energy efficiency and communication delay while ensuring quality-of-service constraints. A non-cooperative game-theoretic approach is taken, and feasibility conditions are derived for the best-response of the game. Under the assumption that these conditions are met, it is shown that the game admits a unique Nash equilibrium, which is guaranteed to be reached by implementing the game best-response dynamics. Based on these results, a convergent power control algorithm is derived, which can be implemented in a fully decentralized fashion.
This paper is devoted to a consistent numerical method for Optimal Control Problems (OCPs) associated with a specific class of nonlinear systems. We study dynamic models equipped with the piecewise constant (fixed-lev...
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ISBN:
(纸本)9781479917730
This paper is devoted to a consistent numerical method for Optimal Control Problems (OCPs) associated with a specific class of nonlinear systems. We study dynamic models equipped with the piecewise constant (fixed-level) control inputs. The presented formalism also includes some switched dynamic models. We develop an implementable control algorithm for the above-mentioned classes of switched-type OCPs, study convexity characteristics and discuss some key properties of the proposed numeric scheme. We also consider a computational example. The computational scheme we propose is based on the Armijo-type projected gradient methodology.
This paper proposes a control algorithm for a UAV to circumnavigate an unknown target at a fixed radius when the location information of the UAV is unavailable. By assuming that the UAV has a constant velocity, the co...
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ISBN:
(纸本)9781479932757
This paper proposes a control algorithm for a UAV to circumnavigate an unknown target at a fixed radius when the location information of the UAV is unavailable. By assuming that the UAV has a constant velocity, the control algorithm makes adjustments to the heading angle of the UAV based on range and range rate measurements from the target, which may be corrupted by additive measurement noise. The control algorithm has the added benefit of being globally smooth and bounded. Exploiting the relationship between range rate and bearing angle, we transform the system dynamics from Cartesian coordinate in terms of location and heading to polar coordinate in terms of range and bearing angle. We then formulate the addition of measurement errors as a stochastic differential equation. A recurrence result is established showing that the UAV will reach a neighborhood of the desired orbit in finite time. Some statistical measures of performance are obtained to support the technical analysis.
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