Critical points separate distinct dynamical regimes of complex systems, often delimiting functional or macroscopic phases in which the system operates. However, the long-term prediction of critical regimes and behavio...
详细信息
Critical points separate distinct dynamical regimes of complex systems, often delimiting functional or macroscopic phases in which the system operates. However, the long-term prediction of critical regimes and behaviors is challenging given the narrow set of parameters from which they emerge. Here, we propose a framework to learn the rules that govern the dynamic processes of a system. The learned governing rules further refine and guide the representative learning of neural networks from a series of dynamic graphs. This combination enables knowledge-based prediction for the critical behaviors of dynamical networked systems. We evaluate the performance of our framework in predicting two typical critical behaviors in spreading dynamics on various synthetic and real-world networks. Our results show that governing rules can be learned effectively and significantly improve prediction accuracy. Our framework demonstrates a scenario for facilitating the representability of deep neural networks through learning the underlying mechanism, which aims to steer applications for predicting complex behavior that learnable physical rules can drive.
The task of self-balancing is one of the most important tasks when developing humanoid robots. This paper proposes a novel external balance mechanism for humanoid robot to maintain sideway balance. First, a dynamic mo...
详细信息
This paper is concerned with the design of state-feedback controllers for Linear Parameter Varying (LPV) polynomial continuous-time systems. The vector field presents polynomial dependence on the states. Two synthesis...
详细信息
This paper is concerned with the design of state-feedback controllers for Linear Parameter Varying (LPV) polynomial continuous-time systems. The vector field presents polynomial dependence on the states. Two synthesis conditions are proposed, the first one considers arbitrary rates of variation in the time-varying parameters, while the second one provides LPV controllers that are constructed based on a smoothed approximation of the time-varying parameter. The sum of squares matrix decomposition is employed to solve the proposed conditions. The L 2 gain is also considered to give a robustness measure of the proposed controllers. The results are illustrated with examples from the literature.
Programmable logic controllers (PLCs) are at the vanguard of industrial automation. In this article a PLC based control system is design and later on implemented on an induction motor used inside textile industry in s...
详细信息
Scientific approaches and methods are considered of the social-economic evaluation of the efficiency of a set of measures on improving road safety in conditions of uncertainty. The risk levels for the adopted social-e...
详细信息
The number of patients suffering from physical or neurological disorder with lower limb impairment is increasing rapidly; hence, not allowing them to perform activities of daily livings (ADLs). This paper presents a p...
The number of patients suffering from physical or neurological disorder with lower limb impairment is increasing rapidly; hence, not allowing them to perform activities of daily livings (ADLs). This paper presents a preliminary work towards the development of a low-cost active lower limb exoskeleton that will assist the wearer while performing ADLs. The exoskeleton is modeled in Solid Works, with a single actuator at the knee joint that is controlled by getting the information from foot sensitive resistors (FSRs) and encoders. The desired knee angle in the sagittal plane during the swing phase of the gait was fed to the controller and then modeling, and simulation technique was applied to achieve the desired output. The preliminary results were reasonable as the system has the ability to assist during slow walking. Future work includes the necessary improvements in the proposed system so that investigations will be carried out for walking assistance of disabled persons.
This paper is concerned with the network-theoretic properties of so-called k-nearest neighbor intelligent vehicular platoons, where each vehicle communicates with k vehicles, both in front and behind. The network-theo...
详细信息
A custom active disturbance rejection control (ADRC) is proposed for trajectory tracking in uncertain underactuated systems. By utilizing a particular property of the differentially flat plant model, a robust output-f...
详细信息
Aiming at solving the problem of low unloading sensitivity, bad dynamic performance and poor stability of high-pressure and large-flow relief valve in hydraulic support system, a new differential type of high-pressure...
详细信息
暂无评论