作者:
Dewei LiYugeng XiDepartment of Automation
Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiaotong University Shanghai China
For the polytopic uncertain systems with unmeasurable system states, this paper considers the synthesis of robust model predictive control (RMPC). A category of dynamic output feedback is adopted as the control strate...
详细信息
ISBN:
(纸本)9781612844879
For the polytopic uncertain systems with unmeasurable system states, this paper considers the synthesis of robust model predictive control (RMPC). A category of dynamic output feedback is adopted as the control strategy. Compared with common dynamic output feedback approach, the adopted approach adds some new freedom, which is optimized online by RMPC with some parameters of the controller given in advance. The proposed RMPC is proven to be robustly stable and recursively feasible. And the system constraints can be satisfied. Meanwhile, in order to reduce the online computational complexity of RMPC, an off-line version of the proposed output feedback RMPC is also developed. This makes the design more practical.
Almost all existing social learning models assume that each agent can perceive her private signal which is used in updating her belief. In this work, we assume that there are some uninformed agents in the network whic...
详细信息
Almost all existing social learning models assume that each agent can perceive her private signal which is used in updating her belief. In this work, we assume that there are some uninformed agents in the network which cannot observe their private signals and update their beliefs just based on the beliefs of their neighbors. We prove that under mild assumptions, even one informed agent is enough to lead all agents in the network eventually learn the true state of the world almost surely. Furthermore, we show through simulation that in a heterogeneous undirected network, it is more efficient to have a few hub agents as the informed agents which can observe their signals, and the convergence speed is almost the same as that when all agents are informed agents.
For a ground target tracking system using an unmanned helicopter, an on-board pan-tilt controller is proposed to adjust the attitude of the camera, so that to keep the target staying at the center of the image plane w...
详细信息
For a ground target tracking system using an unmanned helicopter, an on-board pan-tilt controller is proposed to adjust the attitude of the camera, so that to keep the target staying at the center of the image plane when the target is in sight. When the target is temporarily out of view due to various reasons, the designed controller will make the camera quickly re-capture the target by estimating its state and then regulating the orientation of the camera correspondingly. Specifically, a novel state transformation is firstly introduced to make the error system independent of the target image. Subsequently, a nonlinear pan-tilt controller is designed for the transformed error system. Lyapunov techniques are then employed to prove that the target tracking error in the image plane is driven to zero exponentially fast. To facilitate the implementation of the constructed controller, a visual estimator is also utilized to obtain the state information of the target even if it is occasionally out of the view of the camera by introducing an effective nonlinear filter. Simulation results are provided to validate the performance of the presented controlsystem.
This paper presents a novel method for detection and recognition of glass defects in low resolution images. First, the defect region is located by the method of Canny edge detection, and thus the smallest connected re...
详细信息
This paper presents a novel method for detection and recognition of glass defects in low resolution images. First, the defect region is located by the method of Canny edge detection, and thus the smallest connected region (rectangle) can be found. Then, the binary information of the core region can be obtained based on a specific filter. After noises are removed, a novel Binary Feature Histogram (BFH) is proposed to describe the characteristic of the glass defect. Finally, the AdaBoost method is adopted for classification. The classifiers are designed based on BFH. Experiments with 800 bubble images and 240 non-bubble images prove that the proposed method is effective and efficient for recognition of glass defects, such as bubbles and inclusions.
Hypersonic vehicle has the characteristics of strong nonlinearity, time-varying, strong coupling and large flight envelope, which make the controller design extremely difficult. In this paper, the longitudinal dynamic...
详细信息
Hypersonic vehicle has the characteristics of strong nonlinearity, time-varying, strong coupling and large flight envelope, which make the controller design extremely difficult. In this paper, the longitudinal dynamic model of hypersonic vehicle is studied. Firstly, the linearized model around the equilibrium point is acquired and analyzed. Subsequently, a predictive controller is designed based on the linearized model to track the velocity setpoint under a certain flight condition. In order to extend the controller ability to large flight envelope, a multi-model switching based predictive control method is proposed. Simulation results show that the method could get better performance then single-model based predictive control.
Detecting motion pattern in dynamic crowd scenes is a challenging problem in computer vision field. In this paper, we propose a novel approach to detect the motion patterns from global perspective. To extract the disc...
详细信息
Detecting motion pattern in dynamic crowd scenes is a challenging problem in computer vision field. In this paper, we propose a novel approach to detect the motion patterns from global perspective. To extract the discriminative spatial-temporal features, we introduce the Motion History Image (MHI) into the optical flow algorithm. Motion patterns are then detected by automatic clustering of optical flow vectors through hierarchical clustering. Experiment evaluation on some challenging videos shows reliable detection results and demonstrates the effectiveness of our proposed approach.
This paper mainly deals with the issue of “staircase phenomenon” of delay-independently stable networked controlsystems (NCSs). There already exist works on this topic in continuous-time domain, this paper extends ...
详细信息
This paper mainly deals with the issue of “staircase phenomenon” of delay-independently stable networked controlsystems (NCSs). There already exist works on this topic in continuous-time domain, this paper extends the former result and deals with the more realistic discrete-time case. The definition of “staircase phenomenon” is given at first and the reason is analyzed. Then it is proven that if a NCS with traditional feedback structure is delay-independently stable, then “staircase phenomenon” in its dynamic response cannot be eliminated. This paper proceeds to prove that if a NCS which is delay-independently stable is introduced with scattering transformation, then its steady state error and “staircase phenomenon” in its dynamic response can be eliminated altogether by tuning the parameter of the transformation.
Radial basis function (RBF) network is one of the significant neural networks. It has been used successfully in various fields. But in RBF network approximation algorithm, the initial value of the network weights, Gau...
详细信息
In this paper, we address the problem of distributed consensus filter design for target tracking problems using heterogeneous sensor networks with two types of sensors. The type-I sensors have more computation power, ...
详细信息
ISBN:
(纸本)9781612844879
In this paper, we address the problem of distributed consensus filter design for target tracking problems using heterogeneous sensor networks with two types of sensors. The type-I sensors have more computation power, while the type-II sensors are low-end ones. The main objective of this paper is to design distributed optimal consensus filters for these two types of sensors, respectively, to estimate the state of the target based on the noisy measurements. Our derivation of the optimal filter is based on the use of minimum principle of Pontryagin (for type-I sensors) coupled with the Lagrange multiplier method and the results of generalized inverse of matrices (for type-II sensors). Simulation studies are presented to validate the performance of the proposed filters.
In this paper, a novel data-driven approach is presented to monitor processes influenced by gradual small shifts. The primary idea is to first build multivariate exponentially weighted moving average (MEWMA) model bas...
详细信息
In this paper, a novel data-driven approach is presented to monitor processes influenced by gradual small shifts. The primary idea is to first build multivariate exponentially weighted moving average (MEWMA) model based on the originally measured variables to keep the memory effect of the process trend. Then introduce a unified Mahalanobis distance based monitoring statistic, which makes full use of the feature of the normal distribution of the process variables, to better capture the deviation of the process variables. A case study of the Tennessee Eastman process (TEP) is used to demonstrate the superiority of the proposed method over other conventional ones in performance and workload of the gradual small shifts monitoring.
暂无评论