Disturbance widely exists in control *** disturbance rejection control(ADRC) has been proved to be an efficient way to deal with disturbance and achieves great success in *** most important part of ADRC is extended st...
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ISBN:
(纸本)9781509009107
Disturbance widely exists in control *** disturbance rejection control(ADRC) has been proved to be an efficient way to deal with disturbance and achieves great success in *** most important part of ADRC is extended state observer(ESO),which estimates the states of system and total *** regards internal disturbance and external disturbance as a total disturbance,estimates it and eliminates it in the *** faster ESO estimates total disturbance,the more quickly controller eliminates *** paper focuses on the discrete linear extended state observer(DLESO),and presents discrete predictive linear extended state observer(DPLESO).Stability and performances are *** result shows that DPLESO has better performances for disturbance rejection than DLESO.
Accessory breast cancers in males are extremely rare, and only a few cases have been reported in the literature. In this paper, an 87-year-old male patient was diagnosed with an accessory breast cancer by means of com...
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Accessory breast cancers in males are extremely rare, and only a few cases have been reported in the literature. In this paper, an 87-year-old male patient was diagnosed with an accessory breast cancer by means of computed tomography (CT), magnetic reso- nance imaging (MRI), positron emission tomography- computed tomography (PET-CT), and immuno- histochemistry based on needle biopsy, and has un- dergone successful resection and postoperative ad- juvant endocrine therapy. He was the oldest male patient with an accessory breast cancer reported in the Chinese Hospital Knowledge Database and PubMed literature from 1975 to 2015.
In this paper, a new 3-D trajectory tracking problem for an uncertain high fidelity six-degree-of-freedom (6-DOF) aerodynamic system is considered. Instead of designing controllers for each subsystem separately, an in...
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In this paper, a new 3-D trajectory tracking problem for an uncertain high fidelity six-degree-of-freedom (6-DOF) aerodynamic system is considered. Instead of designing controllers for each subsystem separately, an integrated trajectory tracking control algorithm is proposed to exploit beneficial relationships among interacting subsystems. The high-order aerodynamic model is first transformed into a quasi-strict-feedback form. Then, backstepping technique is utilized to resolve the coupling effect problem of three control channels resulting from the bank-to-turn (BTT) control mode. In addition, command filters are introduced to handle state and actuator constraints caused by the physical limitations and the coordinated turn requirement. Furthermore, the uncertain aerodynamic force and moment coefficients are reconstructed by using the B-spline neural network approximation and adaptive learning approaches. With Lyapunov stability analysis, all the states in the closed-loop system are shown to be semi-globally uniformly ultimately bounded (SUUB), and the tracking errors will asymptotically converge into a small compact set around zero by properly adjusting the control parameters. Finally, numerical simulations are conducted to demonstrate the effectiveness of the proposed algorithm.
In this paper, we address the finite-time tracking consensus control problem for nonlinear multi-agent systems under no-cycle communication graph. Unlike most existing works of finite-time consensus, we focus on nonli...
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In this paper, we address the finite-time tracking consensus control problem for nonlinear multi-agent systems under no-cycle communication graph. Unlike most existing works of finite-time consensus, we focus on nonlinear multi-agent systems with lower triangular subsystems. Based on the local cooperative information among neighboring agents, we propose a tracking consensus protocol ensuring that all agents achieve consensus in a finite time. Finally, we give an example to illustrate the effectiveness of the proposed protocols.
In order to reduce the memory requirement, and obtain real-time status of equipment, the paper proposed to use the the on-line random forests (ORFs) algorithm to identify sensor fault. The sample set is derived from T...
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There exist some obstacles to realize high-precision positioning with using the position differential technique due to the limiting factors. However, with the advancement of chip performance and the establishment of m...
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There exist some obstacles to realize high-precision positioning with using the position differential technique due to the limiting factors. However, with the advancement of chip performance and the establishment of multiple satellite navigation systems, position differential positioning can be realized to meet the civilian high-precision positioning demand while significantly reducing costs. This paper is to explore the engineering application and propose a new method. Through the experiments and data analysis, we have found the error correlation between two receivers in a small area and designed a set of positioning system, and programmed in the Keil μVision5 in C language. The system consists of the current mainstream low-cost STM32, UBLOX NEO 6M chip, NRF24L01 chip, GPS antenna and power supply module. Each two receivers can form a differential positioning system. At present, the system in the low-speed status is, in the urban environment, basically reaching within 0.5 - 3 m of the positioning error.
The cooperative robust output regulation problem for a class of second-order nonlinear multi-agent systems with an exactly known exosystem has been studied recently. This paper further studies the same problem for a c...
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The cooperative robust output regulation problem for a class of second-order nonlinear multi-agent systems with an exactly known exosystem has been studied recently. This paper further studies the same problem for a class of second-order nonlinear multi-agent systems subject to an unknown exosystem. We first show that the problem can be converted into the adaptive stabilization problem for a modified augmented system composed of the given multi-agent system and the distributed internal model. Due to the uncertain parameter in the exosystem, the augmented system is a nonlinear multi-input system with both dynamic and static uncertainties. By combining the adaptive control technique and the robust control technique, we solve our problem by a distributed adaptive robust state feedback controller.
作者:
Yuanqing XiaSchool of Automation
Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology
The concept of cloud controlsystems is discussed in this paper, which is an extension of networked controlsystems (NCSs). With the development of internet of things (IOT), the technology of NCSs has played a key rol...
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This paper addresses the stochastic stability problem of a modified extended Kalman filter(MEKF), targeted at the state estimation of the nonlinear system through wireless channel, where both transmission failure and ...
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ISBN:
(纸本)9781509009107
This paper addresses the stochastic stability problem of a modified extended Kalman filter(MEKF), targeted at the state estimation of the nonlinear system through wireless channel, where both transmission failure and channel fading are practically under consideration. For a class of nonlinear systems whose observation's Jacobi Matrix is always invertible, the sufficient conditions of the error covariance matrices are accordingly established. Moreover, the conditions for the stochastic stability of the estimation error are also derived, which is tighter than the conditions of boundedness of the error ***, a numerical example is given to demonstrate the feasibility of the proposed method.
This paper proposes an H polytopic lter design for a nonlinear system. Based on the polytopic approximation of the nonlinear system, the polytopic lter design is converted into a group of linear matrix inequalities(L...
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This paper proposes an H polytopic lter design for a nonlinear system. Based on the polytopic approximation of the nonlinear system, the polytopic lter design is converted into a group of linear matrix inequalities(LMIs) so that the polytopic lter parameters can be effectively acquired by numerical convex optimization algorithms. At this stage, the tensor product(TP) model transformation is utilized to compute the polytopic approximation of the nonlinear system. Particularly, a new recti cation procedure is further developed to obtain a specific polytopic approximation with all the vertex systems being stable, which premises the solvability of the LMIs. The method is much easier to be implemented than traditional approaches such as the Hamilton-Jacobi inequality(HJI)-based methods. Simulation demonstrates the method is much less conservative than the existing method and has good estimation performance.
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