We propose a linear control and communication scheme for the purposes of stabilization and disturbance attenuation when a discrete Gaussian channel is present in the feedback loop. Specifically, the channel input is a...
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ISBN:
(纸本)9781424414970;1424414970
We propose a linear control and communication scheme for the purposes of stabilization and disturbance attenuation when a discrete Gaussian channel is present in the feedback loop. Specifically, the channel input is amplified by a constant gain before transmission and the channel output is processed through a linear time invariant filter to produce the control signal. We show how the gain and filter may be chosen to minimize the variance of the plant output. For an order one plant, our scheme achieves the theoretical minimum taken over a much broader class of compensators.
The purpose of this study is to develop a new system to synchronously control the simulated robot and humanoid robot based on the skeletal tracking technology. This system is a human-robot interaction system. Human ca...
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ISBN:
(纸本)9781479927456
The purpose of this study is to develop a new system to synchronously control the simulated robot and humanoid robot based on the skeletal tracking technology. This system is a human-robot interaction system. Human can control the robot through the skeletal tracking technology without placing any marker on the subject's body. We use the Microsoft Kinect to get the skeleton framework information of the subject and input the data into the program. Therefore, the experiment has no demand on color to distinguish the subject's motions, and the subject can just perform in the front of the Kinect without wearing any control device. After processing the data, the computercontrols the simulated robot to regenerate the subject's motions synchronously. In this study, we can control the simulated robot to do three different exercises. To verify the validity of the control system, we did a series of experiments to control a humanoid robot NAO. The experimental results show that the synchronous control system can distinguish the movements of human upper limb efficiently, and the cost is lower than that of the previous studies. This system controls both robot model and humanoid robot NAO based on human motion to achieve the human-machine interaction efficiently and the success rate is more than 90%.
We consider the problem of estimating the occupancy level in buildings using indirect information such as CO_2 concentrations and ventilation levels. We assume that one of the rooms is temporarily equipped with a devi...
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ISBN:
(纸本)9781479978878
We consider the problem of estimating the occupancy level in buildings using indirect information such as CO_2 concentrations and ventilation levels. We assume that one of the rooms is temporarily equipped with a device measuring the occupancy. Using the collected data, we identify a gray-box model whose parameters carry information about the structural characteristics of the room. Exploiting the knowledge of the same type of structural characteristics of the other rooms in the building, we adjust the gray-box model to capture the CO_2 dynamics of the other rooms. Then the occupancy estimators are designed using a regularized deconvolution approach which aims at estimating the occupancy pattern that best explains the observed CO_2 dynamics. We evaluate the proposed scheme through extensive simulation using a commercial software tool, IDA-ICE, for dynamic building simulation.
The paper is about the computation of the principal spectrum of the Koopman operator (i.e., eigenvalues and eigenfunctions). The principal eigenfunctions of the Koopman operator are the ones with the corresponding eig...
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Differential spatial modulation (DSM) is a newly proposed differential modulation technique tailored to spatial modulation (SM), which requires no channel state information (CSI) at the receiver. DSM can offer flexibl...
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ISBN:
(纸本)9781467364300
Differential spatial modulation (DSM) is a newly proposed differential modulation technique tailored to spatial modulation (SM), which requires no channel state information (CSI) at the receiver. DSM can offer flexible tradeoff between the reception reliability and the system complexity. In this paper, we are the first to study the adoption of DSM in a dual-hop amplify-and-forward (AF) relaying system, which consists of a two-antenna source, a single-antenna relay, and a single-antenna destination, so as to reduce the burden of channel tracking on both the relay and the destination. We derive a general upper bound on the average bit error probability (ABEP) achieved by the system. Moreover, an exact closed-form ABEP expression and the asymptotic result are provided for BPSK signaling in Rayleigh fading environment. The same system setup with the adoption of SM at the source is chosen as a benchmark for performance comparisons. Simulation results validate the analysis and reveal a 3dB signal-to-noise power ratio (SNR) penalty of the considered system compared with the benchmark.
This paper focuses on the performance of equalizer zero-determinant (ZD) strategies in discounted repeated Stackerberg asymmetric games. In the leader-follower adversarial scenario, the strong Stackelberg equilibrium ...
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The International Conference "computer Algebra"was held online via Zoom on June 28-29, 2021 and the conference web-site is http://***/ca/conference. Co-organized by the Dorodnicyn Computing Center of Federal...
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This paper presents a control design framework for robust reinforcement learning (RL) based vehicle control enhanced with object avoidance using a model predictive approach. The proposed integration method is applied ...
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This paper presents a control design framework for robust reinforcement learning (RL) based vehicle control enhanced with object avoidance using a model predictive approach. The proposed integration method is applied for motion control of autonomous road vehicles. In the motion control, longitudinal and lateral dynamics are incorporated, and the high-performance motion of the vehicle, through the RL-based control agent is achieved. ’H. co based robust control is used as a baseline parallel to the RL-agent to ensure stable operation. The object avoidance and limited error path following are achieved using a model-based predictive algorithm. Finally, the control signals of the three controllers are combined using a supervisor layer, which solves a constrained optimization task to ensure high performance and safe motion. The effectiveness of the proposed control method using simulation scenarios is illustrated.
For maintenance conform processing of brittle materials (ceramics, glass), the resulting chips are not continuous, as in the case of soft and tough materials, it is called a brittle chip removal range. In this machini...
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For maintenance conform processing of brittle materials (ceramics, glass), the resulting chips are not continuous, as in the case of soft and tough materials, it is called a brittle chip removal range. In this machining zone, the quality of the produced surface may decline (appears the cracks and pitting of the material) and the tool life also decreases. When defining the cutting technology (technological parameters, tool edges, tool cooling / lubrication, etc.), chip removal must be carried out in the ductile range. However, due to tool wear, this range may cross the transition and then it can work in the brittle chip formation zone. In this paper, the machinability of zirconia oxid ceramics has been investigated. The aim of the research is to find out the correlation between the wear of the cutting tool, the volume change of the manufactured pockets and the transitions between the chip formation ranges measured by cracks and pitting deformations on the edge of the machined material. It was observed that they overlap to a large extent, consequently, these observed phenomena can be easily applied for tool wear and quality monitoring for realising condition-based maintenance, it is the main scientific contribution of the paper.
Quantization is a widespread method for reducing the inference time of neural networks on mobile Central Processing Units (CPUs).8-bit quantized networks demonstrate almost as high quality as full precision models and...
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