Based on the delay-independent rule, the problem of optimal guaranteed cost control for a class of Takagi-Sugeno (T-S) fuzzy descriptor systems with time-varying delay is studied. A linear quadratic cost function is...
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Based on the delay-independent rule, the problem of optimal guaranteed cost control for a class of Takagi-Sugeno (T-S) fuzzy descriptor systems with time-varying delay is studied. A linear quadratic cost function is considered as the performance index of the closed-loop system. Sufficient conditions for the existence of guaranteed cost controllers via state feedback are given in terms of linear matrix inequalities (LMIs), and the design of an optimal guaranteed cost controller can be reduced to a convex optimization problem. It is shown that the designed controller not only guarantees the asymptotic stability of the closed-loop fuzzy descriptor delay system, but also provides an optimized upper bound of the guaranteed cost. At last, a numerical example is given to illustrate the effectiveness of the proposed method and the perfect performance of the optimal guaranteed cost controller.
An efficient distributed algorithm for mobile nodes of wireless sensor network (WSN) is proposed. A smart mobile robot is designed as the special node of WSN, and the nodes of WSN are deployed in the environment as si...
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ISBN:
(纸本)9780819473622
An efficient distributed algorithm for mobile nodes of wireless sensor network (WSN) is proposed. A smart mobile robot is designed as the special node of WSN, and the nodes of WSN are deployed in the environment as signposts for the robot to follow. We use the RSSI value between the robot and other static nodes as the input of the navigation control system. The mobile robot state and navigation space are denoted by the RSSI potential field. Navigation directions are computed by using fuzzy logic method. To reduce the communication expense, each node within one hop communication range of robot is a distributed navigation unites. Then the fuzzy logic control centre will collect the control outputs from every beacon nodes and calculate the final outputs for mobile robot based on data fusion. The experimental results confirm that the navigation system based on WSN successfully achieved their assigned tasks.
This paper proposes an optimal control method for a 10 degree of freedom (DOF) biped robot with stable walking gait. The biped robot is modeled as a 3D inverted pendulum. From dynamic model of the 3D inverted pendulum...
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This paper proposes a robust algorithm for detecting interest points based on the NonsubSampled Contourlet Transform (NSCT). The NSCT provides multiscale decomposition with directional filters at each scale. Furthermo...
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ISBN:
(纸本)9780769534404
This paper proposes a robust algorithm for detecting interest points based on the NonsubSampled Contourlet Transform (NSCT). The NSCT provides multiscale decomposition with directional filters at each scale. Furthermore, NSCT is very efficient in extracting the geometric information of images and therefore it has very good feature localization. The NSCT-based point detector is compared to the widely used Harris and Difference of Gaussian (DoG) interest point detectors. The experimental results reveal the robustness of the proposed algorithm to rotation, scale and viewpoint changes.
This paper analyzes the possibility of using a new philosophy of experimental engineering laboratory for power electronic converters applied to electric machine control. The aim is to develop an environment which, on ...
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ISBN:
(纸本)9780889867741
This paper analyzes the possibility of using a new philosophy of experimental engineering laboratory for power electronic converters applied to electric machine control. The aim is to develop an environment which, on the one hand, permits the students to design hardware and software blocks that can be incorporated into an electronic power system and, on the other hand, allows the communication and control of this system via the web. The students work in groups, on asynchronous and synchronous software platforms, on the same task and they should look for the best solution for the required design. The drawbacks related to high voltages and currents, waiting for attention from the professor, the high cost of maintenance and updating of an experimental laboratory can be overcome with the use of the Shared Hybrid Virtual-Experimental Laboratory (SHVEL). The validation of the proposed method has been carried out on an experimental system based on the digital signal processor DSP56F807 and on the free software platform FreeMaster from the commercial firm Freescale™.
This paper presents a speed control of an induction motor. The design uses an feedforward Artificial Neural Network (ANN) to implement a rotor speed estimator, and a robust control strategy based on the sliding-mode. ...
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ISBN:
(纸本)9780889867741
This paper presents a speed control of an induction motor. The design uses an feedforward Artificial Neural Network (ANN) to implement a rotor speed estimator, and a robust control strategy based on the sliding-mode. The proposed control scheme also make use of the field oriented control theory to simplify the proposed control design. The stability analysis of the presented control scheme is provided using the Lyapunov stability theory. Finally simulated results show that the presented controller with the proposed observer provides high-performance dynamic characteristics and that this scheme is robust with respect to plant parameter variations and external load disturbances.
The non-invasive fet al Electrocardiogram (FECG) can provide reliable information about the fetus'state. The original FECG signal is nevertheless very complex and severely contaminated by external disturbances or ...
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ISBN:
(纸本)9781424417483
The non-invasive fet al Electrocardiogram (FECG) can provide reliable information about the fetus'state. The original FECG signal is nevertheless very complex and severely contaminated by external disturbances or noises. It is very hard, even not impossible, to reliably extract the FECG from the abdominal signal using traditional techniques. In this work the recursive least squares (RLS) based adaptive noise canceling (ANC) approach is applied to eliminate the maternal ECG (MECG) and hence to extract the FECG. The experimental results have demonstrated that the developed ANC approach can speed up convergence of the normalized least mean squares (NLMS) algorithm and is able to track non-stationary FECG signal in an adaptive manner.
The paper investigates several pole placement methods in the linear case and suggests a new pole placement method by means of fuzzy linear equations. The linear methods concern the constant real part poles, the poles ...
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This paper proposes an optimal control method for a 10 degree of freedom (DOF) biped robot with stable walking gait. The biped robot is modeled as a 3D inverted pendulum. From dynamic model of the 3D inverted pendulum...
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ISBN:
(纸本)9781424428212
This paper proposes an optimal control method for a 10 degree of freedom (DOF) biped robot with stable walking gait. The biped robot is modeled as a 3D inverted pendulum. From dynamic model of the 3D inverted pendulum and under the assumption that center of mass (COM) of the biped robot moves on a horizontal constraint plane, zero moment point (ZMP) equations of the biped robot depending on the coordinate of the center of the pelvis link obtained from the dynamic model of the biped robot are given based on the DdasiaAlembertpsilas principle. A walking pattern is generated based on ZMP tracking control systems that are constructed to track the ZMP of the biped robot to zigzag ZMP reference trajectory decided by the footprint of the biped robot. An optimal tracking controller is designed to control the ZMP tracking control system. From the trajectory of the COM of the biped robot and an arc reference input of the swinging leg, the inverse kinematics solved by the solid geometry method is used to compute the angles of each joint of the biped robot. The simulation and experimental results show the effectiveness of this proposed control method.
Predictive control algorithms compute the manipulated variable minimizing a cost function considering expected future errors. PI control algorithms can be equipped with predictive properties. Simple predictive control...
Predictive control algorithms compute the manipulated variable minimizing a cost function considering expected future errors. PI control algorithms can be equipped with predictive properties. Simple predictive control algorithms are derived using approximation of an aperiodic process by a first-order model with dead time. Applying a noise model the robustness properties of the algorithm are enhanced considering plant-model mismatch. The noise filter is considered as a design parameter. Simulation examples demonstrate the behavior of the predictive PI algorithm and the robustifying effect of the noise filter.
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