Based on the determination of a minimum dwell time, this article addresses the problem of characterising a switching strategy for ℋ∞ stabilisation of switched linear stochastic systems with adapted external inputs. S...
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Based on the determination of a minimum dwell time, this article addresses the problem of characterising a switching strategy for ℋ∞ stabilisation of switched linear stochastic systems with adapted external inputs. Sufficient conditions that assure exponential mean square stability and an ℋ∞ performance index are established by analysing the time evolution of the second-order moment of the state and a recursive dynamic programming inequality, respectively. Alternative conditions are derived for numerical implementations. The proposed method is illustrated by numerical simulations. [ABSTRACT FROM AUTHOR]
In this paper, the estimation of doubly selective channel is considered for amplify-and-forward (AF) relay networks. The complex exponential basis expansion model (CE-BEM) is chosen to describe the time-varying channe...
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In this paper, the estimation of doubly selective channel is considered for amplify-and-forward (AF) relay networks. The complex exponential basis expansion model (CE-BEM) is chosen to describe the time-varying channel, from which the infinite channel parameters are mapped onto finite ones. Since direct estimation of these coefficients encounters high computational complexity and large spectral cost, we develop an efficient estimator targeting at some specially defined channel parameters. The training sequence design that can minimize the channel estimation mean-square error is also proposed.
Simultaneous localization and mapping (SLAM) is a keytechnology for mobile robots operating under unknown environment. While FastSLAM algorithm is a popular solution to the SLAM problem, it suffers from two major d...
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Simultaneous localization and mapping (SLAM) is a keytechnology for mobile robots operating under unknown environment. While FastSLAM algorithm is a popular solution to the SLAM problem, it suffers from two major drawbacks: one is particle set degeneracy due to lack of observation information in proposal distribution design of the particle filter; the other is errors accumulation caused by linearization of the nonlinear robot motion model and the nonlinear environment observation model. For the purpose of overcoming the above problems, a new iterated sigma point FastSLAM (ISP-FastSLAM) algorithm is proposed. The main contribution of the algorithm lies in the utilization of iterated sigma point Kalman filter (ISPKF), which minimizes statistical linearization error through Gaussian-Newton iteration, to design an optimal proposal distribution of the particle filter and to estimate the environment landmarks. On the basis of Rao-Blackwellized particle filter, the proposed ISP-FastSLAM algorithm is comprised by two main parts: in the first part, an iterated sigma point particle filter (ISPPF) to localize the robot is proposed, in which the proposal distribution is accurately estimated by the ISPKF; in the second part, a set of ISPKFs is used to estimate the environment landmarks. The simulation test of the proposed ISP-FastSLAM algorithm compared with FastSLAM2.0 algorithm and Unscented FastSLAM algorithm is carried out, and the performances of the three algorithms are compared. The simulation and comparing results show that the proposed ISP-FastSLAM outperforms other two algorithms both in accuracy and in robustness. The proposed algorithm provides reference for the optimization research of FastSLAM algorithm.
In this paper, we consider the robust transceiver design with Tomlinson-Harashima precoding (THP) for multi-hop amplify-and-forward (AF) multiple-input multiple-output (MIMO) relaying systems. THP is adopted at the so...
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In this paper, we consider the robust transceiver design with Tomlinson-Harashima precoding (THP) for multi-hop amplify-and-forward (AF) multiple-input multiple-output (MIMO) relaying systems. THP is adopted at the source to mitigate the spatial inter-symbol interference and then a joint Bayesian robust design of THP at source, linear forwarding matrices at relays and linear equalizer at destination is proposed. Based on the elegant characteristics of multiplicative convexity and matrix-monotone functions, the optimal structure of the nonlinear transceiver is first derived. Based on the derived structure, the optimization problem is greatly simplified and can be efficiently solved. Finally, the performance advantage of the proposed robust design is assessed by simulation results.
Problems of uncertain chaotic systems with fast terminal sliding mode control are discoursed. Aim at the uncertainty parameters of chaotic systems, proposed a fast terminal sliding mode control method, and the corresp...
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ISBN:
(纸本)9781467325813
Problems of uncertain chaotic systems with fast terminal sliding mode control are discoursed. Aim at the uncertainty parameters of chaotic systems, proposed a fast terminal sliding mode control method, and the corresponding sliding surface and controller are designed, which make the state variables of the system fast convergence to the equilibrium point in the limited time. And the examples are given to verify the feasibility of the system.
A distributed virtual simulation system of the hypersonic vehicle X-38 based on the client/server model was presented through using Java and virtual reality modeling language (VRML). Some key technologies in the virtu...
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A distributed virtual simulation system of the hypersonic vehicle X-38 based on the client/server model was presented through using Java and virtual reality modeling language (VRML). Some key technologies in the virtual simulation system, such as 3D scene reconstruction and event modeling, distributed network architecture design and database management as well as scene interface implementation, were discussed in detail. The practical running result of this virtual simulation system is good. The simulation system has good portability and scalability. It is easy to deploy under the large-scale environment and to implement the secondary development.
Recently a graphic model method has been developed to reconstruct an image from a bag of square, non-overlapping patches. Markov Random Field (MRF) is used to model this type of jigsaw puzzle problem. In this model, e...
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The main focus of this paper is on designing a T-S fuzzy controller for the hypersonic vehicle. The longitudinal dynamics of the vehicle are studied using time-scale decomposition to reduce the complexity of T-S model...
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The main focus of this paper is on designing a T-S fuzzy controller for the hypersonic vehicle. The longitudinal dynamics of the vehicle are studied using time-scale decomposition to reduce the complexity of T-S modeling. The dynamic inversion with PI control technique is applied for the slow dynamics to derive the flight path angle command and throttle setting by taking the pilot altitude and velocity command as its inputs. The T-S fuzzy controller is designed for the fast dynamics to derive the elevator deflection to track the flight path angle command. The discrepancy between the T-S model and real vehicle model is considered by using sliding mode control for the system stability. Simulation results are included to show the effectiveness of the controller.
The recent years have witnessed a surge of interests in graph-based semi-supervised learning(GBSSL).In this paper,we will introduce a series of works done by our group on this topic including:1)a method called linear ...
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The recent years have witnessed a surge of interests in graph-based semi-supervised learning(GBSSL).In this paper,we will introduce a series of works done by our group on this topic including:1)a method called linear neighborhood propagation(LNP)which can automatically construct the optimal graph;2)a novel multilevel scheme to make our algorithm scalable for large data sets;3)a generalized point charge scheme for GBSSL;4)a multilabel GBSSL method by solving a Sylvester equation;5)an information fusion framework for GBSSL;and 6)an application of GBSSL on fMRI image segmentation.
Stroke patients may have limb paralysis or disturbance of consciousness. In the rehabilitation system, the main task of human-computer interaction focused on visual interaction. In this study, it has been confirmed th...
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