This paper addresses the problem of steering a quadrotor vehicle along a predefined *** problem is formulated so as to dynamically prescribe an adequate time evolution along the path and simultaneously bound the effec...
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This paper addresses the problem of steering a quadrotor vehicle along a predefined *** problem is formulated so as to dynamically prescribe an adequate time evolution along the path and simultaneously bound the effect of position errors on the *** proposed solution consists of a nonlinear state feedback controller for thrust and torque actuations combined with a path following timing law that i)guarantees global asymptotic convergence of the path following error to zero,for a large class of three-dimensional paths,ii) ensures that the actuation does not grow unbounded as function of the position errors,and iii) allows for zero thrust actuation to be applied when the vehicle is converging to the *** results are presented to assess the performance of the proposed controller.
This work looks at the potential use of a robotic arm and augmented reality application, with a head-mounted display, in an upper-limb rehabilitation context. A sample application using a robotic simulator and a cross...
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This paper addresses the problem of locating a single source from noisy range measurements in wireless sensor networks. An approximate solution to the maximum likelihood location estimation problem is proposed, by red...
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ISBN:
(纸本)9781424442959
This paper addresses the problem of locating a single source from noisy range measurements in wireless sensor networks. An approximate solution to the maximum likelihood location estimation problem is proposed, by redefining the problem in the complex plane and relaxing the minimization problem into semidefinite programming form. Existing methods solve the source localization problem either by minimizing the maximum likelihood function iteratively or exploiting other semidefinite programming relaxations. In addition, using squared range measurements, exact and approximate least squares solutions can be calculated. Our relaxation for source localization in the complex plane (SLCP) is motivated by the near-convexity of the objective function and constraints in the complex formulation of the original (non-relaxed) problem. Simulation results indicate that the SLCP algorithm outperforms existing methods in terms of accuracy, particularly in the presence of outliers and when the number of anchors is larger than three.
Many robotic systems combine cameras with Laser Rangefinders (LRF) for simultaneously achieving multipurpose visual sensing and accurate depth recovery. Employing a single sensor modality for accomplishing both goals ...
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ISBN:
(纸本)9781467317375
Many robotic systems combine cameras with Laser Rangefinders (LRF) for simultaneously achieving multipurpose visual sensing and accurate depth recovery. Employing a single sensor modality for accomplishing both goals is an appealing proposition because it enables substantial savings in equipment, and tends to decrease the overall complexity of the system. This article explores the possibility of replacing LRF by passive stereo vision for reconstructing the scene along a 2D scan plane. We present a new stereo algorithm that is specifically tailored for the purpose. The algorithm recovers the depth along the scan plane using a symmetry-based matching cost (SymStereo), and refines the raw estimates by applying dynamic programming, followed by a Markov Random Field (MRF) that decides if the reconstructed contour is a line or not. We report for the first time comparative experiments between Stereo Rangefinding (SRF) and LRF. The results are encouraging by showing that SRF can be a plausible alternative to LRF in several application scenarios. Moreover, since SRF also enables independent depth estimates along multiple scan planes with arbitrary orientation, being the only constraint that the scan plane intersects the stereo baseline, it is an important benefit that can be decisive for many robotic applications.
This paper addresses the stabilization of a class of nonlinear systems in the presence of disturbances, using hybrid control. To this effect we introduce two new classes of switched systems and provide conditions unde...
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This paper addresses the stabilization of a class of nonlinear systems in the presence of disturbances, using hybrid control. To this effect we introduce two new classes of switched systems and provide conditions under which they are input-to-state practically stable (ISpS). These results lead to a control design methodology called switched seesaw control design that allows for the development of nonlinear control laws yielding input-to-state stability, using switching. The range of applicability and the efficacy of the methodology proposed are illustrated via two non-trivial design examples. Namely, stabilization of the extended nonholonomic double integrator (ENDI) and stabilization of an underactuated autonomous underwater vehicle (AUV) in the presence of input disturbances and measurement noise.
Abstract This paper discusses key implementation details required for computing the solution of a continuous-time optimal control problem on a Lie group using the projection operator approach. In particular, we provid...
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Abstract This paper discusses key implementation details required for computing the solution of a continuous-time optimal control problem on a Lie group using the projection operator approach. In particular, we provide the explicit formulas to compute the time-varying linear quadratic problem which defines the search direction step of the algorithm. We also show that the projection operator approach on Lie groups generates a sequence of adjoint state trajectories that converges, as a local minimum is approached, to the adjoint state trajectory of the first order necessary conditions of the Pontryagin's Maximum Principle, placing it between direct and indirect optimization methods. As illustrative example, an optimization problem on SO(3) is introduced and numerical results of the projection operator approach are presented, highlighting second order converge rate of the method.
Uniform complete observability and controllability are key concepts for the design of state observers and controllers for linear time-varying systems. While the definitions of these properties are simple, it is more o...
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An approach for tracing, representation, and recognition of a handwritten numeral in an offline environment is presented. A 2D spatial representation of a numeral is first transformed into a 3D spatiotemporal represen...
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An approach for tracing, representation, and recognition of a handwritten numeral in an offline environment is presented. A 2D spatial representation of a numeral is first transformed into a 3D spatiotemporal representation by identifying the tracing sequence based on a set of heuristic rules acting as transformation operators. Given the dynamic information of the tracing sequence, a multiresolution critical-point segmentation method is proposed to extract local feature points, at varying degrees of scale and coarseness. A neural network architecture, the hierarchically self-organizing learning (HSOL) network (S. Lee, J.C. Pan, 1989), especially for handwritten numeral recognition, is presented. Experimental results based on a bidirectional HSOL network indicated that the method is robust in terms of variations, deformations, and corruption, achieving about 99% recognition rate for the test patterns.< >
Every year, wildfires cause significant losses and destruction around the globe. In order to attempt to reduce their damages, resources have been put into developing fire propagation prediction systems. In a real wild...
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This paper describes an application of a new fault detection and isolation (FDI) technique based on set-valued observers (SVOs) to a linear parameter varying (LPV) longitudinal aircraft dynamic model. The FDI strategy...
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ISBN:
(纸本)9783902661968
This paper describes an application of a new fault detection and isolation (FDI) technique based on set-valued observers (SVOs) to a linear parameter varying (LPV) longitudinal aircraft dynamic model. The FDI strategy adopted herein computes and uses the set-valued estimates of the SVOs to eliminate models of the plant that are not compatible with the set of observations provided by the aircraft sensor suite and actuation data. The design of the SVOs takes into account model uncertainty and disturbances, thus avoiding false alarms due to such perturbations. The behavior of the proposed solution is assessed in simulation, by deliberately generating hard and soft sensor/actuator faults. The results show that the faults take, in general, only a few iterations to be detected and isolated, therefore paving the way for the use of the proposed methodology in practical applications.
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