In this paper, an integral reinforcement learning (IRL)-based approximate optimal control (AOC) method for unknown nonaffine systems is developed by using dynamic feedback. For optimal control problems of nonaffine sy...
In this paper, an integral reinforcement learning (IRL)-based approximate optimal control (AOC) method for unknown nonaffine systems is developed by using dynamic feedback. For optimal control problems of nonaffine systems, optimal control policy cannot be expressed explicitly since the input gain matrix is unknown. Therefore, the nonaffine system is transformed into an augmented affine system by introducing a dynamic feedback signal as the virtual control input. Moreover, by designing an appropriate value function for the augmented affine system, the optimal control of augmented affine system is formulated as the AOC for unknown nonaffine systems. Moreover, the IRL method is adopted to derive the approximate solution of Hamilton-Jacobi-Bellman equation via the critic-only structure. Theoretical analysis concludes that the closed-loop system is uniformly ultimately bounded by using the developed IRL-based AOC scheme. An example is utilized to demonstrate the effectiveness of the present approach.
To effectively control the robotic transfemoral prosthesis equipped with active actuators, it is necessary to recognize the user's state and intentions and generate an appropriate joint trajectory. In this paper, ...
To effectively control the robotic transfemoral prosthesis equipped with active actuators, it is necessary to recognize the user's state and intentions and generate an appropriate joint trajectory. In this paper, a walking trajectory generator based on a finite-state machine (FSM) is proposed as a simple algorithm to implement walking, starting, and stopping motions. We define the thigh and knee angles in a one-to-one correspondence by dividing the walking cycle into several states and using FSM controller. Through this, it is possible to linearize the relationships between the thigh and knee, and by setting gait trajectory generation parameters, it is possible to generate the knee angle according to the thigh angle and the FSM state. In addition, a variable impedance control that performs actual ankle movements to enable walking on uneven ground. Finally, the proposed method was successfully verified through walking experiments with the robotic transfemoral prosthesis on treadmill with ground obstacles.
Causal discovery is a methodology for learning causal graphs from data, and LiNGAM is a well-known model for causal discovery. This paper describes an open-source Python package for causal discovery based on LiNGAM. T...
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Causal discovery is a methodology for learning causal graphs from data, and LiNGAM is a well-known model for causal discovery. This paper describes an open-source Python package for causal discovery based on LiNGAM. The package implements various LiNGAM methods under different settings like time series cases, multiple-group cases, mixed data cases, and hidden common cause cases, in addition to evaluation of statistical reliability and model assumptions. The source code is freely available under the MIT license at https://***/cdt15/lingam.
This article presents an adaptive neural network (NN) observer-based fault tolerant control (FTC) method for partially unknown nonlinear systems with actuator faults via adaptive dynamic programming. By using an adapt...
This article presents an adaptive neural network (NN) observer-based fault tolerant control (FTC) method for partially unknown nonlinear systems with actuator faults via adaptive dynamic programming. By using an adaptive NN observer, the system states, unknown system dynamics and faults are estimated accurately. An augmented system is constructed to transform the FTC problem into an optimal control problem. Through adopting a critic NN, the Hamilton-Jacobi-Bellman equation is solved for the augmented system. Then, the approximate optimal control policy is obtained, i.e., the FTC policy is acquired. The Lyapunov's direct method is utilized to ensure that the closed-loop nonlinear system is uniformly ultimately bounded. A simulation example shows the FTC performance of the proposed method.
Optimizing the Low Voltage Ride Through (LVRT) performance of Doubly-fed Wind Generation (DFWG) has always been an important task to improve the operational reliability of wind turbines. For this purpose, this paper p...
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The aquaculture industry is a cornerstone of Vietnam’s economy, with the cultivation of white-leg shrimp (Penaeus vannamei) as a significant contributor to its growth. Efficient feeding practices are paramount in opt...
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In this paper, the fatigue propagation mechanism of motor stator insulation damage under variable frequency drive is studied by combining theoretical analysis and finite element numerical simulation. Based on the magn...
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ISBN:
(数字)9798350348958
ISBN:
(纸本)9798350348965
In this paper, the fatigue propagation mechanism of motor stator insulation damage under variable frequency drive is studied by combining theoretical analysis and finite element numerical simulation. Based on the magneto-thermo-solid coupling and fatigue damage theory, the stress-strain state, crack damage degree and propagation rate of motor stator insulation are analyzed. The crack damage propagation at different positions of the end winding outlet, middle and nose end is simulated and calculated by three-dimensional finite element method. It is found that the stress, strain and stress intensity factor of the end winding insulation at the outlet position change violently, which reflects that the crack damage is easier to expand and the propagation rate is greater. The results of this paper can provide reference for the evolution law, fault diagnosis and optimization design of insulation damage of variable frequency drive motor under complex working conditions.
Heuristics are widely used for dealing with complex search and optimization problems. However, manual design of heuristics can be often very labour extensive and requires rich working experience and knowledge. This pa...
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AVS2 is a kind of video coding standard proposed by China,it adopts 33 intra prediction modes to improve coding performance,while the computational complexity has increased *** order to reduce the complexity of AVS2 i...
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ISBN:
(纸本)9781665417358
AVS2 is a kind of video coding standard proposed by China,it adopts 33 intra prediction modes to improve coding performance,while the computational complexity has increased *** order to reduce the complexity of AVS2 intra mode decision and make the AVS2 hardware encoder meet realtime requirements,this paper proposes the AVS2 intra fast mode decision algorithm and hardware *** experimental results show that the intra mode decision algorithm and hardware design proposed in this paper can meet the throughput requirement of 1920 x1080@60 fps at a clock frequency of300 *** using Xilinx FPGA XC7 K325 T 900 on the Vivado HLS platform for synthesis,only 10% of the LUT,5% of FF,5% of BRAM,and 6% of DSP in FPGA resources are consumed to meet the design requirements.
The article introduces Non-Orthogonal Multiple Access(NOMA)and Filter Bank Multicarrier(FBMC),known as hybrid waveform(NOMAFBMC),as two of the most deserving contenders for fifth-generation(5G)*** spectrum access and ...
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The article introduces Non-Orthogonal Multiple Access(NOMA)and Filter Bank Multicarrier(FBMC),known as hybrid waveform(NOMAFBMC),as two of the most deserving contenders for fifth-generation(5G)*** spectrum access and clampdown of spectrum outflow are unique characteristics of hybrid *** compare the spectral efficiency of Orthogonal Frequency Division Multiplexing(OFDM),FBMC,NOMA,and *** is seen that the hybrid waveform outperforms the existing *** to Average Power Ratio(PAPR)is regarded as a significant issue in multicarrier *** combination of Selective Mapping-Partial Transmit Sequence(SLM-PTS)is an effective way to minimize large peak power *** SLM,PTS,and SLM-PTS procedures are applied to the NOMA-FBMC *** hybrid structure is applied to the existing ***,the correlated factors like Bit Error Rate(BER)and Computational Overhead(CO)are studied and computed for these *** outcome of the work reveals that the NOMA-FBMC waveform coupled with the SLM-PTS algorithm offers superior performance as compared to the prevailing systems.
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