Simulator for smart wheelchairs is of great significance for both driver training and algorithm design. A development and simulation platform for wheelchairs is presented in this paper. On this platform, simulations o...
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Human interest input could greatly enhance the efficiency of the multi-robot exploration. However, most of the previous work did not take the intention of the operator into account. In this paper, a human interest ori...
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ISBN:
(纸本)9781479927456
Human interest input could greatly enhance the efficiency of the multi-robot exploration. However, most of the previous work did not take the intention of the operator into account. In this paper, a human interest oriented multi-robot exploration system is designed. The system is composed of a mobile base station and several robot explorers. A human interest oriented task allocation method is developed to enable these robot explorers to coordinate based on the operator's intention. Furthermore, an optimization index is proposed to balance the obedience, connectivity and explorability of the system; and the optimization problem is solved to generate the movements of the mobile base station and the robot explorers. Simulations and real-world experiments have demonstrate the effectiveness of the system and the efficiency of the exploration process.
In this paper, we present a gain-scheduling distributed model predictive control (MPC) algorithm for polytopic uncertain systems subject to actuator saturation. A large-scale system is decomposed into subsystems and s...
In this paper, we present a gain-scheduling distributed model predictive control (MPC) algorithm for polytopic uncertain systems subject to actuator saturation. A large-scale system is decomposed into subsystems and sub-controllers are designed independently. An invariant set condition is provided and a min-max distributed MPC strategy is proposed based on the invariant set. The distributed MPC controller is determined by solving a linear matrix inequality (LMI) optimization problem. An iterative algorithm is provided to coordinate the sub-controllers. A numerical example is carried out to demonstrate the effectiveness of the proposed algorithm.
This paper presents an efficient analytic method for a mobile robot to determine a collision-free trajectory with unified optimization. The robot kinodynamic constraints and the geometric constraints due to obstacles ...
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This paper presents an efficient analytic method for a mobile robot to determine a collision-free trajectory with unified optimization. The robot kinodynamic constraints and the geometric constraints due to obstacles are addressed by considering a set of constrained inequalities from parameterized trajectories model. Two optimal performance matrices are employed to assess optimization problems. Particularly, both the constraints and performance functions are incorporated by similar forms in terms of trajectory parameters, which thereby can be considered in a uniform way. A parameter space of adjustable trajectory parameters is constructed to solve the unified optimization problem with constraints and results in more flexible and better optimal performance. The proposed approach is complete and enhances methods of deterministic real-time planning by overcoming typical drawbacks as intermediate configuration, curvature discontinuities, vertical singularities and incomplete optimization. Simulation results verify the validity and superiority of the proposed method.
The Fault Detection and Isolation (FDI) of a quadrotor vehicle, which is described by a nonlinear model, are tackled in this paper. The nonlinear identity observer is utilized to detect the various types of sensors fa...
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ISBN:
(纸本)9781479928569
The Fault Detection and Isolation (FDI) of a quadrotor vehicle, which is described by a nonlinear model, are tackled in this paper. The nonlinear identity observer is utilized to detect the various types of sensors faults, and the Generalized Observer Scheme (GOS) is used to isolate the faulty sensor. The robustness of the observer and its scheme is investigated through several simulation results to build the Decision- Making Unit (DMU) for the residuals. Various simulation results have validated the FDI method and shown the system performance towards different fault scenarios.
A ground controlsystem (GCS) for unmanned aerial vehicles (UAV) is developed in this paper. Different tasks, which include real time communication between GCS and UAVs, data processing and storing, localization, path...
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A ground controlsystem (GCS) for unmanned aerial vehicles (UAV) is developed in this paper. Different tasks, which include real time communication between GCS and UAVs, data processing and storing, localization, path planning and so on, can be accomplished in the proposed GCS. To address the issue of path planning problem for UAVs, a new path planning algorithm based on potential function is proposed to drive the UAV to its destination in this paper. Time-varying gain adjusting method is used to enable the UAV obstacle avoidance ability under the constraints for the translation velocity. Lyapunov based analysis is used to prove the stability of the proposed algorithm. Numerical simulation results are included to demonstrate the performance of the proposed path planning design.
This paper focuses on the admissibility condition for fractional-order singular system with order α ∈ (0, 1). The definitions of regularity, impulse-free and admissibility are given first, then a sufficient and nece...
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This paper focuses on the admissibility condition for fractional-order singular system with order α ∈ (0, 1). The definitions of regularity, impulse-free and admissibility are given first, then a sufficient and necessary condition of admissibility for fractional-order singular system is established. A numerical example is included to illustrate the proposed condition.
In this paper, we present an improved analytic method to the optimal trajectory generation of an autonomous underwater vehicle (AUV) in a dynamic environment. The proposed approach explicitly incorporates both the AUV...
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In this paper, we present an improved analytic method to the optimal trajectory generation of an autonomous underwater vehicle (AUV) in a dynamic environment. The proposed approach explicitly incorporates both the AUV kinematic and the geometric constraints due to dynamic obstacles and the terrain while rendering the near-shortest path by a performance index related to the path length. In particular, the proposed design is based on a family of parameterized trajectories determined by three adjustable parameters, which provides a unified way to reformulate the geometric constraints and performance index into a set of parameterized constraint equations. To that end, such a constrained optimization problem boils down to optimize those adjustable parameters, which can be analytically solved in the parameter space. The proposed solution enhances the methodologies of real-time path planning for robots in 3D environment. Simulation results verify the effectiveness of the proposed method.
This paper studies the global leader-following consensus problem for a multi-agent system using bounded controls. Both the agents and the leader are described by a chain of integrators of arbitrary length. A saturated...
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ISBN:
(纸本)9781479900305
This paper studies the global leader-following consensus problem for a multi-agent system using bounded controls. Both the agents and the leader are described by a chain of integrators of arbitrary length. A saturated linear feedback control law is constructed for each system in the group. These feedback laws use a multi-hop relay protocol, in which each agent obtains the information of other agents through multi-hop paths in the communication network, and the feedback gains are constructed from the adjacency matrix of the communication network. It is shown that global leader-following consensus is achieved under the feedback control laws we have constructed when the communication topology among follower agents is a strongly connected and detailed balanced directed graph and the leader is a neighbor of at least one follower. Simulation results are given to illustrate the theoretical results.
Aiming at the deficiencies of notch filters on the aspect of vibration suppression for elastic missile with swing nozzle thrust vector control(SNTVC),an active vibration controller(AVC)is *** is composed of an optimal...
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Aiming at the deficiencies of notch filters on the aspect of vibration suppression for elastic missile with swing nozzle thrust vector control(SNTVC),an active vibration controller(AVC)is *** is composed of an optimal state feedback controller(OSFC)and an optimal minimal order state observer(OMOSO),which can be respectively designed based on the separation *** design rules of these two elements are successively *** simulation results present that AVC can realize strong vibration suppression and good convergence property after ***,it has simple design and then it is easily implemented in *** addition,the AVC scheme can also resolve the poor system stability to a great extent,which is resulted from the bad static stability of missile body.
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