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In general, dynamic systems are systems with time-dependent behavior. Dynamic systems are characterized by the non-stationary data sequences they emit. One particular way to model these non-stationary sequences is to consider them as a sequence of stationary segments, regimes, where each regime is separated by regime switching points from both the preceding and subsequent regimes. In system identification...
Distributed group cooperative guidance (DGCG) problems for multiple missiles with switching directed communication topologies are dealt with. In contrast to traditional cooperative guidance utilized to intercept one single target, the group cooperative guidance is applicable to multiple targets. In the group cooperative attack, multi-missile system are classified into multiple subgroups, and each...
The problem of estimating parameters of switched affine systems with noisy input-output observations is considered. A subspace technique is proposed to exploit the observations' permutation structure, which transforms the problem of associating observations with subsystems into one of de-permutating a block diagonal matrix. Then a spectral clustering algorithm is presented to recover the block structure...
We use statistical learning to estimate end-to-end QoS metrics from device statistics, collected from a server cluster and an OpenFlow network. The results from our testbed, which runs a video-on-demand service and a key-value store, demonstrate that the learned models can estimate QoS metrics like frame rate or response time with errors bellow 10% for a given client. Interestingly, we find that service-level...
To deal with the distributed estimation for mobile sensor networks with switching topologies, an algorithm of the weighted average consensus-based cubature Kalman filtering is proposed by combining the advantages of the cubature Kalman filtering in information form and consensus algorithm. On the basis of the predecessors research work, the sufficient condition is presented for ensuring the weighted...
This paper considers the target surrounding control problem of second-order multi-agent systems with linear dynamics and switching topologies. In our scheme, all agents finally converge to a circle around the target and then move along it. Firstly, a distributed protocol is given for each agent to estimate the position of static target. It is shown that the estimation of each agent eventually converges...
Consider a set of random sequences, each consisting of independent and identically distributed random variables. Each sequence is generated according to one of the two possible distributions F0 or F1 with unknown prior probabilities (1 − ∊) and ∊, respectively. The objective is to design a sequential decision-making procedure that identifies a sequence generated according to F1 with the fewest number...
CPU is one of the most significant sources of power consumption on smartphones. Power modeling is a key technique and important tool for power estimation and management, both of which are critical for providing good QoS for smartphones. However, we find that existing CPU power models for smartphones are ill-suited for modern multicore CPUs: they can give high estimation errors (up to 34%) and high...
The problem of parameters identification is solved by means of the combined maximum principle. Its use allows one to decompose the original system into subsystems for each of the observed state variables. The first stage of solving the extremal problem is to solve the structural synthesis problem. Within its framework there are causal characteristics leading to the state changes. They are treated...
This paper proposes a phase correction strategy for the zero sequence back EMF based sensorless drive under current regulation control (viz., I/f control). The straightforward phase correction process based on the nearest principle might lead to false correction under different load conditions. The proposed strategy can achieve robust phase correction by injecting transitory high frequency (HF) signal...
An optimal field weakening (FW) control for interior permanent magnet synchronous motor (IPMSM) considering the nonlinearities of IPMSM and inverter is presented in this paper. Nonlinearities of inverter cause distortion voltage (DV) which considerably affects the efficiency of IPMSM in FW region. In FW operation, the efficient utilization of available voltage is extremely important. Typically, in...
Position sensorless control of switched reluctance motors reduces the system cost and increases the drives overall reliability. The flux-linkage method is a commonly applied technique when sensorless control of switched reluctance motors is pursued. The sensing quality, though being sensitive to model errors and further effects, can be sufficient for a number of applications. However, sophisticated...
The design of sliding mode variable structure control (SMVSC) for discrete time systems with uncertainties is discussed by discrete reaching law in this paper. The reason of causing chattering is given and a discrete reaching law with border lay is developed. Gray model estimation is built for the uncertainty items and the values of parameters are obtained. The reaching time is reduced by the proposed...
Judiciously setting the base station transmit power that matches its deployment environment is a key problem in ultra dense networks and heterogeneous in-building cellular deployments. A unique characteristic of this problem is the tradeoff between sufficient indoor coverage and limited outdoor leakage, which has to be met without explicit knowledge of the environment. In this paper, we address the...
The most prominent criterion for learning of manipulation skills is the optimization of task success, modeled as expected reward or probability of success. This is sensible if we only want to optimize a single controller. But if learned manipulation primitives are used as modules in a larger system, then it is also important that their generated sensor traces facilitate recognition of action-outcomes...
In the present work, we proposed a novel approach which allows the estimation of actuator fault and its compensation correctly for switched hybrid system. So, to thwart the impact of the fault we extended and developed a fault tolerant control (FTC) for switched system. The synthesis of it needs to follow three important steps. The first step, is based on the use of the Data-based Projection Method...
This paper addresses the problem of reachable set estimation for discrete-time switched systems under arbitrary switching. By introducing a novel conception called M-step sequence which is capable of characterizing all possible subsystem activation orders during M discrete-time steps, a Lyapunov function based approach is proposed to derive a set of bounding ellipsoids to estimate the reachable set...
Modern control approaches are completely studied in standard DC-DC buck and boost converters. However, industrial switching power supplies haven't been investigated precisely using nonlinear control systems. This issue is related to more complex state-space model of these converters. In this paper, adaptive nonlinear control of isolated flyback switching power supplies is studied using Lyapunov stability...
In this paper we propose a novel mission control strategy for a group of agents to locate an unknown source, represented as maximum of a scalar field, and to track a specified level curve. We propose a distributed control scheme based on hierarchy formation and reduced topology. Without prior knowledge of the field, the agents, equipped with local sensors, navigate in ℝp using an estimated gradient...
This paper delineates a mechanism to attain decentralized control of a high-frequency distributed power system (HFDPS) based on local observation and/or estimation at the source and load ends. An acceptable dynamic performance of the independent control eliminates/reduces the need for high-speed communication (that typically needs to be high because of HF power transfer) between the source- and load-end...
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