提出了一种新的神经自适应结构:基于深度神经网络的模型参考自适应控制(DMRAC)。我们的体系结构利用深度神经网络表示的能力来建模显著的非线性,同时将其与表征基于MRAC的控制器的有界性保证相结合。我们通过仿真和分析证明,DMRAC可以包含以前研究的基于学习的MRAC方法,如并发学习和GP-MRAC。这使得DMRAC具有强大的体系结构...
A similar performance was obtained for the DNN model and real robot for both the trajectories, further validating the high fidelity of the DNN model. Figure 3. Hovering performance of the weight set obtained from simulation tuning. (Left): 3D view of the stationary reference and tracked ...
Some of these model-based control methods include the linear quadratic regulator [1,2], sliding mode controller [3,4,5], backstepping [6,7], adaptive control [8,9], and Model Predictive Control (MPC) [2,10,11,12,13]. Of these model-based controllers, MPC is an effective control ...
emphasizing those that utilize deep learning techniques. Furthermore, they contribute a comprehensive classification system, aligning specific security threats with the corresponding components of the Cisco IoT reference model to
The convergence performance of RSPSO algorithm was evaluated with 6 DNN model architecture optimisation. To assess the optimisation ability of RSPSO, the performance of the reference GA-enhanced DNN model is studied. 4.1.1. RSPSO parameters selection As shown in Eq. (14), RSPSO parameters ...
A least-square approach is adopted to identify a functional, input-output ARX model structure for the Vim and evaluate the effects of the stimulation on its electric patterns. Based on it, an adaptive minimum variance control scheme is then proposed to restore the spectral features of the Vim'...
In the following sections of this chapter, any reference to the convolution operation will mostly refer to the 2D discrete case. The extension to the 3D case, which is often encountered in medical imaging, is straightforward. 4.2 Properties of the Convolution Operation In the case of a discrete...
The models for the analysis of developmental temperature dependence were trained with 1,000,000 and 100,000 image triplets for 40 and 70 epochs for zebrafish and medaka, respectively, using model version 1. Only data at the corresponding reference temperatures, that is, 28.5 °C and 28....
Autonomous landing of a uav on a moving platform using model predictive control. Drones 2018, 2, 34. [Google Scholar] [CrossRef] Erginer, B.; Altug, E. Modeling and pd control of a quadrotor vtol vehicle. In Proceedings of the 2007 IEEE Intelligent Vehicles Symposium, Istambul, Turkey, ...
The model can be unstable during training and can take a considerable amount of time. GAN’s other weaknesses includes its inability to control what images GAN will produce and the lack of control over the style of generated images. This is where conditional GANs (cGAN) and style GANs come ...