this paper studies distributed cooperative localization problem for a multirobot team with one leader and two followers. Each robot in the team is equipped local sensors and can exchange data with its neighbors throug...
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ISBN:
(纸本)9781509035502
this paper studies distributed cooperative localization problem for a multirobot team with one leader and two followers. Each robot in the team is equipped local sensors and can exchange data with its neighbors through wireless communication network. A distributed localization algorithm is developed by using extended Kalman filter (EKF) scheme. In every sampling period, each member in the team estimates its local state based on its local measurements and neighbor's state estimation information sent from its neighbors at current sampling time or last sampling time. A simulation result shows that the algorithm is feasible.
A key problem in event-triggered control of multi-agent systems is to design triggering conditions. We first give an overview of existing triggering conditions used in the literature. However, not all existing trigger...
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ISBN:
(纸本)9781509035502
A key problem in event-triggered control of multi-agent systems is to design triggering conditions. We first give an overview of existing triggering conditions used in the literature. However, not all existing triggering conditions can both relax continuous communication between neighboring agents and admit a positive lower bound of inter-event times. then, we propose two new triggering conditions based on edge information rather than neighbor information, and show that Zeno behavior is ruled out by using a time-dependent threshold and a periodic event detector, respectively. Moreover, we list some open problems which are worththe effort to launch future investigations.
Parturient paresis(milk fever) is a common disease associated withthe onset of parturition in dairy cows. the disease is considered due to a large increased demand for calcium. Several work has mathematically and bio...
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ISBN:
(纸本)9781509035502
Parturient paresis(milk fever) is a common disease associated withthe onset of parturition in dairy cows. the disease is considered due to a large increased demand for calcium. Several work has mathematically and biologically modelled this process. Based on the existing models on calcium dynamics in diary cows, an optimal impulse treatment is proposed in this paper. the treatment is executed at a fixed time interval and lasts a relatively very small time duration, which is termed as a "fixed time impulse" control. For the optimization, with a selected objective function, a series of equations for optimality are to be satisfied, including control equations, costate equations and state equations. those impulsive differential equations form a two point boundary value problem and are difficult to solve. A numerical scheme, SNAC(Single Network Adaptive Critic), is then proposed. the algorithm key is to use one neural network to capture the optimal relation between the pre-impulse state and the after-impluse costate. After the neural network is trained and the relation is captured, the optimal impulse dosage of medicine can be provided when a parturient paresis is detected, and the cow's calcium level can be brought back to the normal status. Simulations are presented for illustrative purposes.
In this paper, we propose an improved fuzzy enhancement algorithm for the moving object detection and tracking. A new membership function is proposed based on the theory of fuzzy sets, which improves the traditional P...
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ISBN:
(纸本)9781509035502
In this paper, we propose an improved fuzzy enhancement algorithm for the moving object detection and tracking. A new membership function is proposed based on the theory of fuzzy sets, which improves the traditional Pal-King fuzzy enhancement algorithm and overcomes the loss of gray information after the processing of enhancement. Since a gray image with multiple targets need more than one crossover point (threshold) for image segmentation, a method for multi-threshold segmentation based on Otsu algorithm is proposed. this method can get multiple thresholds of the image accurately in a short time. After the processing of fuzzy enhancement the moving object is detected and tracked according to the image centroid. Experimental results show that the proposed algorithm can achieve moving object detection and tracking accurately and quickly.
In this paper, a new distributed algorithm is presented to achieve the consensus of time variations and that of initial time simultaneously. By combining bothcontroller and estimator design methods, it obtains higher...
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ISBN:
(纸本)9781509035502
In this paper, a new distributed algorithm is presented to achieve the consensus of time variations and that of initial time simultaneously. By combining bothcontroller and estimator design methods, it obtains higher synchronization precision with stronger robustness against noisy inputs resulted from crystal oscillators. Furthermore, the control input is ensured bounded to make our algorithm realizable in practical implementation. the implementation of the algorithm allows the receiving end to be event-triggered, while the transmitting end is executed periodically. the performance of the algorithm is illustrated by the given numerical simulations.
Considering time-delay networked control systems with packet dropout and limited communication, the fault detection is studied via delta operator. Depicting the model of data losses as Bernoulli distribution and explo...
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ISBN:
(纸本)9781509035502
Considering time-delay networked control systems with packet dropout and limited communication, the fault detection is studied via delta operator. Depicting the model of data losses as Bernoulli distribution and exploiting limited output channels for data transmission, an H∞ fault detection filter and a residual generator are developed on the basis of the state observer. then, sufficient conditions for the residual systems to be asymptotically stable and ensure the H∞ performance index are given in terms of Lyapunov functional technique and linear matrix inequalities (LMIs) approach in delta domain. the designed filter can ensure that the residual signal is sensitive to failures. Finally, the applicability of the presented method is demonstrated by a simulation example.
Based on the least squares support vector regression and the Nystrom approximation, it becomes possible to apply a nonlinear model for the prediction problem of water quality with large sample. this is done by using a...
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ISBN:
(纸本)9781509035502
Based on the least squares support vector regression and the Nystrom approximation, it becomes possible to apply a nonlinear model for the prediction problem of water quality with large sample. this is done by using a reduce rank approximation of the nonlinear mapping induced by the primal kernel matrix, with an active selection of support vectors based on an unsupervised kernel clustering algorithm. the proposed method is applied to predict the chloride of the East River, for the case of 24-hours ahead prediction. the results show that it can avoid the memory overflowing during the training on large sample, and improve the learning efficiency significantly with desired accuracy.
In this paper, leader-following consensus of the discrete-time heterogenous multi-agent system with bounded communication delays is studied. the heterogeneous multi-agent system is composed of first-order and second-o...
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ISBN:
(纸本)9781509035502
In this paper, leader-following consensus of the discrete-time heterogenous multi-agent system with bounded communication delays is studied. the heterogeneous multi-agent system is composed of first-order and second-order integrator agents. By applying the graph theory and the algebra theory, sufficient consensus criteria are obtained to guarantee that each agent can track the leader. Despite there exist bounded time delays among agents, consensus can also be realised under fixed and switching topologies. Event-triggered control laws are designed to reduce the frequency of individual actuation updating. Numerical examples are provided to demonstrate the effectiveness of the theoretical results.
the fixed-time synchronization problem for a class of second-order nonlinear multi-agent systems with a leader-follower architecture is investigated in this paper. To achieve the fixed-time tracking, the design proced...
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ISBN:
(纸本)9781509035502
the fixed-time synchronization problem for a class of second-order nonlinear multi-agent systems with a leader-follower architecture is investigated in this paper. To achieve the fixed-time tracking, the design procedure is divided into two steps. At the first step, a distributed fixed-time estimator is designed for each agent to estimate the leader's state in a fixed time. then, at the second step, based on the technique of adding a power integrator, a fixed-time tracking controller for each agent is proposed such that the estimate leader's state can be tracked in a fixed time. Finally, an estimator-based fixed-time controller is developed such that the leader can be tracked by all the followers in a fixed time. Simulations are presented to verify the effectiveness of the proposed approach.
In this paper, we accomplish simultaneous localization and mapping using the monocular LSD-SLAM. this method is different with feature method, estimating the accurate and reconstructing the large scale environment map...
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ISBN:
(纸本)9781509035502
In this paper, we accomplish simultaneous localization and mapping using the monocular LSD-SLAM. this method is different with feature method, estimating the accurate and reconstructing the large scale environment map. Using the direct image alignment, the environment can be mapped in pose-graph of key frames semi-dense maps. the LSD-SLAM contains two advantage. A novel direct tracking method can definitely estimate the scale-drift. In addition, the probabilistic estimation can optimize the effect of noisy depth values on tracking. the experiment showed the LSD-SLAM is reliability, robustness and real-time.
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