the paper is concerned withthe multi-robot leader-following problem in the presence of frequent dropouts in vision detection. In many scenarios, for instance a structured environment, it is inevitable to experience o...
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ISBN:
(纸本)9781509035502
the paper is concerned withthe multi-robot leader-following problem in the presence of frequent dropouts in vision detection. In many scenarios, for instance a structured environment, it is inevitable to experience outage of vision detection due to reasons such as the target moving out of view, vision occlusion, motion blurring, etc. the paper proposes a Bayesian trajectory estimation based leader-following approach that can offer accurate path following given intermittent vision observations. the follower robot estimates the trajectory of the leader robot based on the noise-corrupted odometry information of both robots, and inter-robot relative observations based on detection of fiducial markers using an RGBD camera. A linear trajectory-following control method is employed to track a historical pose of the leader robot on the estimated trajectory. Results are obtained based on evaluating the proposed leader-following approach in tests with a zig-zag shaped trajectory and with a trajectory that contains sharp turns.
the linear time invariant (LTI) observer-based discrete-time sliding-mode control problem is considered for a robust tracking of higher-order dynamic delay-time systems. Here, Luenberger observer is used for estimatio...
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ISBN:
(纸本)9781509035502
the linear time invariant (LTI) observer-based discrete-time sliding-mode control problem is considered for a robust tracking of higher-order dynamic delay-time systems. Here, Luenberger observer is used for estimation of system states as all states are not available for measurement. Sliding surface is selected based on output feedback and observer states to realize the sliding-mode control. Observer and controller parameters are tabulated by pole placement strategy. the performance of proposed control is improved with dual tuning parameter in terms of settling time and control effort. Finally, non-oscillatory, oscillatory, integrating, and non-minimum phase systems with delay-time examples are implemented with numerical simulations to demonstrate the validity of the proposed control method.
For quadrotor aircraft, atmospheric turbulence, wind shear, and model uncertainty are important factors which affect the quality of flight, or even lead to a failure of flight. In this paper, we consider the control p...
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ISBN:
(纸本)9781509035502
For quadrotor aircraft, atmospheric turbulence, wind shear, and model uncertainty are important factors which affect the quality of flight, or even lead to a failure of flight. In this paper, we consider the control problem of quadrotor aircraft with linear or nonlinear disturbances including model uncertainty. By employing backstepping technique, adaptive backstepping controllers are proposed which ensure the stability and reliability of the closed-loop system. Simulation results illustrate the effectiveness of proposed scheme.
In this paper, the consensus problem for linear multi-agent systems subject to non-uniform time-varying communication delays and jointly connected switching networks is investigated. Both distributed dynamic state fee...
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ISBN:
(纸本)9781509035502
In this paper, the consensus problem for linear multi-agent systems subject to non-uniform time-varying communication delays and jointly connected switching networks is investigated. Both distributed dynamic state feedback control law and distributed dynamic output feedback control law are proposed. By establishing some technical lemmas, it is shown that the proposed distributed control laws can solve the consensus problem.
Improving the transient behaviour of neural-networked-based control of a class of nonlinear systems is the goal of this paper. this is achieved by leveraging the faster convergence of the online sequential learning al...
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ISBN:
(纸本)9781509035502
Improving the transient behaviour of neural-networked-based control of a class of nonlinear systems is the goal of this paper. this is achieved by leveraging the faster convergence of the online sequential learning algorithm for three-layered feed foward neural networks withthe multiple models, switching, and tuning methodology.
Communication networks are increasingly applied in smart grid for information exchange and optimal operation. this paper presents an optimal active power control strategy for islanded microgrid in the presence of comm...
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ISBN:
(纸本)9781509035502
Communication networks are increasingly applied in smart grid for information exchange and optimal operation. this paper presents an optimal active power control strategy for islanded microgrid in the presence of communication delays. the control strategies are fully distributed. the impact of the diverse communication delays and the effectiveness of the algorithm are analyzed by using the Generalized Nyquist criterion. the proposed approach can minimize the total cost and maintain the supply-demand balance of the microgrid. Several case studies are carried out to verify the effectiveness of the proposed approach.
In the high-frequency PD radar engineering applications, it is easy to produce the distance ambiguity problem. the most commonly used solutions of the fuzzy algorithms are Chinese remainder theorem, one-dimensional se...
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ISBN:
(纸本)9781509035502
In the high-frequency PD radar engineering applications, it is easy to produce the distance ambiguity problem. the most commonly used solutions of the fuzzy algorithms are Chinese remainder theorem, one-dimensional set of algorithms and more than poor look-up table method. this paper presents a new algorithm of range ambiguity resolution, first of all estimate a set of fuzzy distance number of wavelengths through the lattice theory, and then implement the estimation of the true distance in the framework of maximum likelihood estimation. Finally, the simulation experiments show that, the solution of fuzzy algorithm under the assurance to solve the ambiguity of the accuracy of the premise, compared to in the Chinese remainder theorem, one-dimensional set algorithm, residual look-up table method has a faster processing speed.
In this paper, the position control problem of a gear transmission servo system with dead-zone nonlinearity is investigated. All the parameters involved in both system model and dead-zone nonlinearity model are allowe...
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ISBN:
(纸本)9781509035502
In this paper, the position control problem of a gear transmission servo system with dead-zone nonlinearity is investigated. All the parameters involved in both system model and dead-zone nonlinearity model are allowed totally unknown. An adaptive back stepping control scheme is presented. the effects of dead-zone nonlinearities are described by mismatched and matched disturbances, which are compensated by introducing additional estimates of their bounds in control laws and robust terms in parameter update laws. It is shown that all the closed-loop signals can be ensured bounded and the output regulation error will converge to a compact set. Simulation results are provided to show the effectiveness of the proposed adaptive control scheme.
In this paper, the distributed control of micro-grids is regarded as the consensus problem for a class of nonlinear multi-agent systems. An effective distributed adaptive control strategy is proposed based only on loc...
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ISBN:
(纸本)9781509035502
In this paper, the distributed control of micro-grids is regarded as the consensus problem for a class of nonlinear multi-agent systems. An effective distributed adaptive control strategy is proposed based only on local information of the network structure. Dynamics of agents are assumed to be unknown and estimated by Neural Networks. the leader is ultimately followed by the followers with bounded synchronization error. To verify the effectiveness of the cooperative tracking adaptive controller, one simulation in micro-grid system is given finally.
Relative localization is a core problem for swarm robotics since each swarm node must determine where neighboring robots are located to accomplish cooperative tasks such as formation control. In this paper we present ...
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ISBN:
(纸本)9781509035502
Relative localization is a core problem for swarm robotics since each swarm node must determine where neighboring robots are located to accomplish cooperative tasks such as formation control. In this paper we present a system that performs relative localization between a stationary marker and a flying robot in real-time. Relative distances are obtained using ultra-wide band radio, while a low-cost webcam provide angle measurements. To achieve the latter, we employed the Camshift algorithm and a Kalman filter. We tested our system outdoors during daylight using centimeter-accuracy GPS measurements as ground truth. three data sets have been collected from a series of experiments and it shows that errors in estimated relative positions are between +/-0.190 m on the x-East axis and +/-0.291 m on the z-North axis at 95% confidence level.
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