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Robots controlled by Reinforcement Learning (RL) are still rare. A core challenge to the application of RL to robotic systems is to learn despite the existence of control delay - the delay between measuring a system's state and acting upon it. Control delay is always present in real systems. In this work, we present two novel temporal difference (TD) learning algorithms for problems with control delay...
The load object of ball mill in thermal power plant has complex traits that are large time-delay, slow time-varying, strongly nonlinear, etc. It is difficult to obtain satisfactory control performance using conventional control methods. The model-free adaptive control method based on grey prediction was introduced to control ball mill load in this paper. This method combined the adaptive, anti-interference...
Internet End-to-end delay is an important QoS metric. It can be used in real-time application designing and optimizing - control system based on the Internet for example. In such applications, precisely predicted delay is needed. However, due to the complex of the Internet, end-to-end delay is dynamic and thus hard to predict. This paper first shows the jitter of end-to-end delay is chaotic based...
This paper analyzes a new alternative approach to compensate for the effects of time delays on a dynamic networked control system using one step ahead prediction based on an adaptive time delay neural network or TDNN and the combined application of optimal control and classical pole placement methods.
In teleoperation systems, operator performance is negatively affected by time-delayed visual feedback. Predictive display (PD) compensates for delays by providing synthesized visual feedback. While most existing PD methods rely on a priori models (e.g., from laser range finding or stereo vision), recent work on monocular SLAM and SFM makes it possible to acquire PD models in single camera applications...
Initial flight delays caused by weather or any other factors may result in downstream flight delays. The downstream flights may be delayed due to awaiting the aircraft and crew resources of the upstream flights or competing with delayed flights for the airport runway resource. Only one or the other of these two factors that may lead to flight delay propagation has been considered in existing studies...
The extended cellular automata (ECA) is one of the extending application of cellular automata (CA) by extending the component of cell and the definition of cellular neighbors. Based on ECA, the definition of parallel cellular automata (PCA) composed of multi-ECA is proposed and the evolutions of all ECAs are parallel. Depending on the model of PCA, it becomes more easily to describe the synchronous...
In networked control systems (NCS) network-induced delays affect the performance of system and even cause instability. A discrete model of NCS was established in this paper, and a feedback control method based on forecast for State compensation was given in view of the model. The method was applied in a simulation model of inverted pendulum, and was confirmed to be effective .Finally, the paper points...
In order to compensate time-delay in the networked control system (NCS), the paper presents a state prediction control method which adopted time-stamp. At first, we studied a time-stamp based time-delay measuring algorithm of NCS and implemented the state prediction based time-delay compensation control to the system. Then, we proposed a state prediction control approach of establishing an approximate...
On-chip interconnect demand is becoming the dominant factor in modern processor performance and must be estimated early in the design process. This paper presents a set of heterogeneous architectural models that combines architecture description and Rent's rule-based wiring models. These architecture models allow flexible heterogeneous system specifications, enabling investigations of prospective...
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