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In this paper, we study multiuser detection for asynchronous uplink machine-to-machine systems with code division multiple access. We formulate the maximal logarithmic likelihood problem for asynchronous multiuser detection via joint channel gains, time delays and transmission symbols detection. We present the design for pilot sequence and propose an adaptive step-size method with low complexity to...
By adopting device-to-device (D2D) communications, user terminals (UTs) can work as relays to help the cell-edge UTs with poor channel conditions obtain better network access experiences. In this paper, we characterize the D2D-assisted relay performance in the context of a cellular uplink scenario, where the UTs close to BS can act as the full-duplex relays. To obtain the system performance metric...
In this paper, the H∞ filtering problem for singular stochastic systems with Brownian motions is studies. The design of singular H∞ filter is focused such that the filtering error system is asymptotically mean square admissible and meet prescribed H∞ performance level. For design purpose, the existence condition of the proposed singular H∞ filter is formulated according to the linear matrix inequality...
This paper introduces xDCI, a Data Science Cyber-infrastructure to support research in a number of scientific domains including genomics, environmental science, biomedical and health science, and social science. xDCI leverages open-source software packages such as the integrated Rule Oriented Data System and the CyVerse Discovery Environment to address significant challenges in data storage, sharing,...
The model-based event-triggered strategies have been developed as an alternate for Zero-Order-Hold (ZOH)- based event triggered scheme in continuous-time for multi-agent systems (MAS). However, traditional event-triggered schemes need the knowledge of system dynamics whereas model-based schemes are sensitive to model uncertainties. Therefore, in this paper, a novel distributed robust event-triggered...
In this paper, the problem of flocking of MultiAgent Systems (MAS) in presence of system uncertainties and unknown disturbances is investigated. A biologically-inspired novel distributed resilient controller based on a computational model of emotional learning in mammalian brain is proposed. The methodology, known as Brain Emotional Learning Based Intelligent Controller (BELBIC), embeds a resilience...
This paper presents a novel control strategy to reduce the DC-link voltage ripple for electrolytic capacitor-less PMSM drive system. By injecting the 3rd harmonic current into the driver system, the instantaneous power balance between the grid output power and the motor output power is achieved, so the DC-link voltage ripple is reduced obviously. For further improving the PMSM performance under DC-link...
We consider the coordinated transmission in the downlink of user-centric virtual cell networks where a number of Remote Radio Heads (RRHs) form a virtual cell to serve every user equipment (UE). We introduce two cell formation schemes and design the precoders in order to optimize the sum data rate with fairness among users. The original non-convex weighted sum-rate maximization problem is converted...
The development of robot technology provides a good opportunity for the development of robots in rehabilitation. As a result, robot for upper limbs has become more and more popular. Rehabilitation robot can use the related technologies to monitor and evaluate the rehabilitation process or the training condition, improve the training pertinence and science. Moreover, it can free physicians from heavy...
This paper proposes a method of position control based on BP-PID controller to implement the electrode position control of calcium carbide furnace. Firstly, the characteristics of the arc of the burner-electrode are studied and the arc current under the maximum heating power is deduced theoretically. Secondly, the position control strategy of the electrode is determined. Finally, the BP-PID controller...
As an important branch of medical robot, rehabilitaction training robot for hemiplegic upper limbs is a hot research topic. Based on motor relearning program, it covers many technology fields, such as rehabilitation medicine, human anatomy, mechanics, computer science, and robotics, etc. With the developing of auxiliary robot, there are still some disadvantages in the existent devices, such as heavy...
Mobile manipulation tasks in warehouses require robots to grasp and transport objects autonomously. To carry out mobile manipulation tasks autonomously, robot needs integrate several components for perception, planning, grasping, and manipulation. In this paper, we consider the systematic implementation of grasping, transportation and placing by using a mobile robot. We design a mechanical gripper...
To facilitate understanding of the relationship between the most significant greenhouse gas carbon dioxide and human activities, we have developed a differential absorption lidar (DIAL) detection system at 1.57 μm. The goal of this lidar system is to detect the temporal and spatial distribution of atmospheric carbon dioxide gas from 0.3 km to 3 km in the atmosphere. Beginning in 2009, the system was...
To evaluate the performance of the Orbiting Carbon Observatory 2 (OCO-2) Lite File Product (Lite_FP) which has the highest amount of data and the highest utilization efficiency among the three products of OCO-2, we compared global atmospheric CO2 observations for 20 months (September 2014 to April 2016) with GGG2014 data from the Total Carbon Column Observing Network (TCCON). We considered the latitude...
The model-based event-triggered strategies have been developed as an alternate for Zero-Order-Hold (ZOH)- based event triggered scheme in continuous-time for multi-agent systems (MAS). However, traditional event-triggered schemes need the knowledge of system dynamics whereas model-based schemes are sensitive to model uncertainties. Therefore, in this paper, a novel distributed event-triggered consensus...
In this paper, a novel neurobiologically inspired intelligent tracking controller is developed and implemented for Unmanned Aircraft Systems (UAS) in presence of uncertain system dynamics and disturbance. The methodology adopted, known as Brain Emotional Learning Based Intelligent Controller (BELBIC), is based on a novel computational model of emotional learning in mammals' brain limbic system. Compared...
Multi-UAS (MAS) flocking requires multiple controllers with connected communication topologies. Real-time deployment of multi-agents is commonly associated with dynamic communication topologies, which has been considered as a challenging topic. This paper proposes a novel low- computation distributed connectivity control method to generate connected communication topologies and maintain the connectivity...
Non-Uniform Memory Access (NUMA) architectures are widely used in mainstream multi-socket computer systems to scale memory bandwidth. Without a NUMA-aware design, programs can suffer from significant performance degradation due to inter-socket bandwidth contention. However, identifying bandwidth contention is challenging. Existing methods measure bandwidth consumption. However, consumption alone is...
A biologically-inspired intelligent controller based on a computational model of emotional learning in mammal's brain is employed for flocking control of Multi-Agent Systems (MAS). The methodology, known as Brain Emotional Learning Based Intelligent Controller (BELBIC), is implemented in this application for the first time, enhancing the flocking strategy with multi-objective properties. The learning...
A novel rectenna based on the grid-array antenna is presented in this paper. The grid-array antenna provides the feasibility to tilt the radiation beam. Two isolated feed points are designed in the grid-array antenna so as to generate two different beams separately. In this way, the rectenna can harvest more wireless RF energy from different directions. Finally, a prototype is fabricated and measured...
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