Closed formation control for multiple unmanned ground vehicles (UGVs) is studied in this chapter. The leading-following strategy with a virtual leader is applied to coordinate the whole formation group so that only lo...
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ISBN:
(纸本)9783540743545
Closed formation control for multiple unmanned ground vehicles (UGVs) is studied in this chapter. The leading-following strategy with a virtual leader is applied to coordinate the whole formation group so that only local information is sufficient for every UGV to maintain close formation. Error-shaping memory-based control is designed for formation path tracking. The salient feature of this approach lies in its simplicity in design and implementation, and no need for detailed information on external disturbances and uncertainties. The performance of the proposed method is verified via real-time experiment on various formation operations.
A problem of synthesis of optimal measurement feedbacks for dynamical systems under uncertainty is under consideration. An online control scheme providing a guaranteed result under the worst-case conditions is described.
ISBN:
(纸本)9783540726982
A problem of synthesis of optimal measurement feedbacks for dynamical systems under uncertainty is under consideration. An online control scheme providing a guaranteed result under the worst-case conditions is described.
Motivated by recent research on multiobjective optimization, we focus on the problem of m interconnected systems characterized by multiple decision makers with limited centralized information. Two types of variables o...
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ISBN:
(纸本)9783540743545
Motivated by recent research on multiobjective optimization, we focus on the problem of m interconnected systems characterized by multiple decision makers with limited centralized information. Two types of variables occur: local variables that appear in a single component and global variables which provide the connection between the M systems and appear in all of them. From the point of view of one system, the problem is seen as optimization of local costs using local control variables coupled with global variables, subject to local constraints. This is a decomposition of the general centralized vector optimization problem into a set of decentralized cooperative optimization problems with local mathematical models, coupled through constraints. In this chapter, we provide a method for solving this problem by using a decomposition technique combined with an exact penalty method.
This chapter outlines our research efforts toward developing a cooperative target localization method based on multiple autonomous unmanned aerial vehicles (UAVs) that axe outfitted with heterogeneous sensors. The cur...
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ISBN:
(纸本)9783540743545
This chapter outlines our research efforts toward developing a cooperative target localization method based on multiple autonomous unmanned aerial vehicles (UAVs) that axe outfitted with heterogeneous sensors. The current focus of the research includes (1) optimizing the UAV trajectories to place them at desired locations at desired times to capture target locations, (2) cooperative sensor scheduling, and (3) intelligent fusing of multiple sensor measurements to accurately estimate the position and velocity of a target. The focus of this paper is the sensor-fusion task. One might consider addressing this problem using some form of Kalman filter. However, a complicating factor in the present application is that sensor readings arrive out-of-sequence to the sensor-fusion process. For example, there is non-deterministic latency in the inter- and intra-UAV communication channels. We address this problem by developing an out-of-order sigma-point Kalman filter ((OSPKF)-S-3).
In many practical situations in process industry, the measurements of process quality variables, such as product concentrations, are available at different sampling rates and than other measured variables and also at ...
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This paper investigates vision based robot control based on a receding horizon control strategy. The stability of the receding horizon control scheme is guaranteed by using the terminal cost derived from an energy fun...
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ISBN:
(纸本)9783540726982
This paper investigates vision based robot control based on a receding horizon control strategy. The stability of the receding horizon control scheme is guaranteed by using the terminal cost derived from an energy function of the visual feedback system. By applying the proposed control scheme to a two-link direct drive manipulator with a CCD camera, it is shown that the stabilizing receding horizon control nicely works for a planar visual feedback system. Furthermore, actual nonlinear experimental results are assessed with respect to the stability and the performance.
In this paper an internal model based approach to periodic input disturbance suppression for port-Hamiltonian systems is presented, more specifically, an adaptive solution able to deal with unknown periodic signal bel...
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ISBN:
(纸本)9783540707004
In this paper an internal model based approach to periodic input disturbance suppression for port-Hamiltonian systems is presented, more specifically, an adaptive solution able to deal with unknown periodic signal belonging to a given class is introduced. After an introductive section, the adaptive internal model design procedure is presented in order to solve the input disturbance problem. This theoretical machinery is specialized for the energy-based port-Hamiltonian framework in order to prove the global asymptotical stability of the solution. Finally, in order to clearly point out the effectiveness of the presented design procedure a tracking problem is solved for a robotic manipulator affected by torque ripples.
In the average consensus a set of linear systems has to be driven to the same final state which corresponds to the average of their initial states. This mathematical problem can be seen as the simplest example of coor...
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ISBN:
(纸本)9783540707004
In the average consensus a set of linear systems has to be driven to the same final state which corresponds to the average of their initial states. This mathematical problem can be seen as the simplest example of coordination task and in fact it can be used to model both the control of multiple autonomous vehicles which all have to be driven to the centroid of the initial positions, and to model the decentralized estimation of a quantity from multiple measure coming from distributed sensors. In general we can expect that the performance of a consensus strategy will be strongly related to the amount of information the agents exchange each other. This contribution presents a consensus strategy in which the exchanged data are symbols and not real numbers. This is based on a logarithmic quantizer based state estimator. The stability of this technique is then analyzed.
Engineering and control technology have played and continue to play a major role in medicine over the past half-century, from the invention of the pacemaker in 1950 and ventricular assist devices in the 1980’s, to mo...
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Completely centralized control of large, networked systems is impractical. Completely decentralized control of such systems, on the other hand, frequently results in unacceptable control performance. In this article, ...
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ISBN:
(纸本)9783540726982
Completely centralized control of large, networked systems is impractical. Completely decentralized control of such systems, on the other hand, frequently results in unacceptable control performance. In this article, a distributed MPC framework with guaranteed feasibility and nominal stability properties is described. All iterates generated by the proposed distributed MPC algorithm are feasible and the distributed controller, defined by terminating the algorithm at any intermediate iterate, stabilizes the closed-loop system. The above two features allow the practitioner to terminate the distributed MPC algorithm at the end of the sampling interval, even if convergence is not attained. Further, the distributed MPC framework achieves optimal systemwide performance (centralized control) at convergence. Feasibility, stability and optimality properties for the described distributed MPC framework are established. Several examples are presented to demonstrate the efficacy of the proposed approach.
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