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Adaptive systems have used a variety of approaches to return the task responsibility back to the user, including restoration of performance or physiological thresholds, leveling of task loads, and user-initiated deactivation. Little attention has been paid to evaluating the relative effectiveness of these various hand-off mechanisms, or the impact that these mechanisms may have on operator workload...
Questions of computer realization for new class — three levels of adaptive manufacturing control system were considered. They were marked with special features that allow to form demands to methods of process description. It was shown that suggested homogeneous method suits mathematical description perfectly. The method consists of static linear programming task and differential equations. Local methods...
This work presents a path following controller for single Unmanned Surface Vessels (USV) in formation control. Firstly, the USV mathematical model under unknown dynamic sea conditions will be analyzed. And then an adaptive robust controller is designed based on RBF neural network. Finally, the controller stability and robustness with unmodeled dynamics and unknown model parameters perturbation in...
With the rapid development of the power grid and the increase of power demand, the voltage level of the substation is improving rapidly. The noise caused by the transformer becomes a serious problem because it affects the health of the surrounding residents. In this paper, the noise of 1000kV transformer in Shanxi is measured and analyzed. The results show that the transformer noise has low frequency...
We propose bias-compensated algorithms based on the RZA-LMS algorithm and diffusion RZA-LMS algorithm. Our proposed algorithms improve the accuracy of estimation under the situation that input of the adaptive filter contains noise. Estimation methods of the input noise' variance are given for implementing our single-node and diffusion bias-compensated algorithms. Simulation results show that the proposed...
We study the problem of distributed state estimation over adaptive networks, where agents collaborate to estimate a common state parameter vector. If the sensing target area is too large or we want to improve the convergence speed of a large adaptive network, single-level diffusion algorithms do not have better performance, so we study the multi-level diffusion Kalman filter algorithm where a network...
This study presents an ACC (Adaptive Cruise Control)-based traffic control strategy which aims to adapt in real time the driving behavior of ACC-equipped vehicles to the prevailing traffic conditions so that the motorway traffic flow efficiency is improved. The potential benefits obtained by applying the proposed control concept are demonstrated for different ACC penetration rates by use of validated...
This paper studies observer-based output feedback control for a class of nonlinear descriptor systems, and presents a number of new results. At first, under a sufficient condition to guarantee the resulting closed loop descriptor system to be impulse free, a novel stabilizing observer-based output feedback controller is designed. Then an observer-based output feedback H∞ controller and an observer-based...
In this paper, based on an asymmetric barrier Lyapunov function (ABLF) and the dynamic surface control (DSC) technique, we develop an adaptive constrained control scheme to address the constraints on the output for a class of nonlinear systems with uncertainties. The proposed controller guarantees the boundedness of output constraints and the asymptotic stability with online parameter adaption in...
In this paper, a sensorless control method of surface-mounted permanent-magnet synchronous motors (SPMSM) based on an adaptive sliding mode observer (SMO) is proposed. In the adaptive SMO system, the error between the actual current and the estimated current is fed to a PI controller for extracting rotor speed and position. Comparing with the conventional SMO, the low pass filter (LPF) and the additional...
Estimation of small tap-coefficients of large sparse system using μ-law based proportionate normalized least square (MPNLMS) algorithm yields slow converges, since the proportionality of these coefficients is ignored in the updated process. The individual activation factor-MPNLMS (IAF-MPNLMS) algorithm solves this problem by assigning new gain distribution factor while updating the tap-coefficients...
InfiniBand is the de facto networking technology for commodity HPC clusters and has been widely deployed. However, most production large-scale InfiniBand clusters use simple routing schemes such as the destination-mod-k routing to route traffic, which may result in degraded communication performance. In this work, we investigate using the OpenFlow-style Software-Defined Networking (SDN) technology...
There arises the need in many wireless network applications to infer and track different models of interest. Some nodes in the network are informed, where they observe the different models and send information to the uninformed ones. Each uninformed node responds to one informed node and joins its group. In this work, we suggest an adaptive and distributed clustering and partitioning approach that...
In this paper, a new evolutionary optimization technique called flower pollination algorithm is employed to compute the optimal parameters of an unknown infinite impulse response (IIR) system. FPA is inspired by the pollination process of flowers. To achieve a balance between intensification and diversification phases, proper tuning of control parameter has been performed. The proposed FPA based method...
For homing missiles considering terminal angular constraint, integrated design of guidance and control utilizing adaptive command filtered backstepping is studied in this paper. The proposed control scheme guarantees not only the stability of the missile dynamics with state constraints but also the interception performance with a desired terminal attitude angle. An adaptive law is introduced to compensate...
The design and analysis of smart system behavior needs to bridge between worlds — both with regard to engineering methods and to the technologies central to adaptivity and thus a core functionality of smart systems-of-systems. We illustrate this in our domain, smart buildings, where AI technologies like rule based or probabilistic reasoning set the strategies that define the building's adaptive behavior,...
To improve the dynamic performance of permanent magnet synchronous motor(PMSM) drive system, an adaptive nonsingular terminal sliding model control((NTSMC) strategy was proposed. The proposed control strategy presents an adaptive variable-rated exponential reaching law which the L1 norm of state variables is introduced. Exponential and constant approach speed can adaptively adjust according to the...
Over the last decade, critical infrastructures have become increasingly complex. They now possess levels of automation which requires the integration of, often, mutually incompatible technologies. In addition, the data sets generated are t, vast and intricate level of interdependency between infrastructures has grown. Any failures, caused by cyber-attacks, have the ability to spread through a system...
The dynamic adaptive streaming technique flexibly adapts the video bit-rate to link fluctuations, which can improve the quality of experience (QoE). In this paper, we present a systematic framework of video streaming in the context of information-centric networking, in order to facilitate the large-scale deployment of the dynamic adaptive streaming technique. Specifically, we design the network as...
We propose an energy-efficient diffusion strategy where each node performs the combination step in the diffusion LMS strategy only at every L time slots. This proposed strategy reduces the inter-node communication overhead by L-fold, but yields a steady-state network mean-square deviation (MSD) higher than the traditional diffusion LMS strategy. To improve the steady-state network MSD performance,...
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