The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The new algorithm is proposed for the estimating of linear plant's unknown parameters in the case of observations with arbitrary external noises. It is based on adding of randomized inputs (test perturbations) through the feedback channel. The assumptions about the noise are reduced to a minimum: it can virtually be arbitrary but independently of it the user must be able to add test perturbations...
We consider a class of pure-state preparation problems for stochastic quantum dynamics, by means of Hamiltonian control, continuous measurement and quantum feedback, in the presence of a Markovian environment. We prove that, whenever suitable dissipative effects are induced either by the unmonitored environment or by continuous-time measurements, open-loop time-invariant control is in principle sufficient...
In this paper, the physical realizability property is investigated for a class of nonlinear quantum systems. This property determines whether a given set of nonlinear quantum stochastic differential equations corresponds to a physical nonlinear quantum system satisfying the laws of quantum mechanics.
In this paper the approximate consensus problem in multi-agent stochastic systems with noisy information about the current state of the nodes and randomly switched topology for agents with nonlinear dynamics is considered. The control is formed by the local voting protocol with step size not tending to zero. To analyze closed loop system we propose to use method of continuous models (ODE approach...
In this paper, a methodology for propagation of uncertainty in stochastic nonlinear dynamical systems is investigated. The process noise is approximated using Karhunen-Loève (KL) expansion. Perron-Frobenius (PF) operator is used to predict the evolution of uncertainty. A multivariate Kolmogorov-Smirnov test is used to verify the proposed framework. The method is applied to predict uncertainty evolution...
The noise-free CMOS inverter is described by a first- order non-linear differential equation that can be regarded as a standard case in electronic circuits from the system-theoretic viewpoint. In lieu of the noise-free CMOS inverter, this paper explains the stochastic CMOS inverter at the low power supply voltage. The method of this paper utilizes the Kolmogorov-Fokker-Planck equation for the noise...
A realistic model for the geometry of a mobile wireless network, i.e. the spatial configuration of its nodes, must take into account the randomness involved in nodes' locations which is the consequence of the unpredictanle movement of nodes. Stochastic geometry and point processes are rich mathematical disciplines which can be used to model such random wireless networks. In this paper, we discuss...
Influence of small time-delays in coupling between noisy excitable systems on the coherence resonance and self-induced stochastic resonance is studied. Parameters of delayed coupled deterministic excitable units are chosen such that the system has only one attractor, namely the stationary state, for any value of the coupling and the time-lag. Addition of white noise induces qualitatively different...
Patterns are present everywhere in the world. Some exampels of where patterns can be found are in weather, traffic, social behaviour, music and text. The ability to recognize and understand these patterns is crucial for our ability to interpret the world around us. Thus, there are many research directions concerned with pattern analysis. In this paper we describe Pattern Theory, as formalized by Grenander,...
In this paper, we consider the challenging problem of tracking a maneuvering target with abrupt accelerations and introduce a new model based on GARCH process. We formulate the acceleration of dynamic model by stochastic differential equation (SDE) with adaptive coefficients and stochastic volatility. Our adaptive state space approach provides a novel dynamic model that naturally facilitates the physical...
Digital Stochastic Measurement (DSM) method provides Fourier coefficients by using dithered samples of the measured signal. In this paper we evaluate the uncertainty bounds of this method, and compare our results with the Cramer-Rao Lower Bound findings.
In this paper we present an application of the Itô stochastic calculus to the problem of modelling RLC electrical circuits. The deterministic model of the circuit is replaced by a stochastic model by adding a noise term to various parameters of the circuit. The analytic solutions of the resulting stochastic integral equations are found using the multidimensional Itô formula. For the numerical simulations...
This note gives a brief survey on discrete-time stochastic iterative learning control (SILC) from three aspects, namely, SILC for linear system, nonlinear system and system with other stochastic signal. Two major approaches, stochastic Kalman filtering approach and stochastic approximation approach, for SILC are proposed. Some open questions are also included.
A distributed sampled-data based protocol is proposed for the average consensus of double-integrator multi-agent systems with switching topologies and communication noises. The proposed protocol uses information from two aspects: the agent's own state and the relative states between the agent and its neighbors. Due to the existence of communication noises, the relative states cannot be obtained accurately...
With regard to the aircraft flutter flight test stochastic models coexisting input and output observation noise, this paper deduces the simplified form of the maximum likelihood cost function about the stochastic model by virtue of the frequency domain maximum likelihood estimation principle. Then a global optimization iterative convolution smoothing identification method is derived to significantly...
The term "indoor" here refers generally to enclosed space partitioned into subspaces with connecting doors or gates. Examples include the inside of office buildings, amusement parks, and indoor shopping malls. In many applications, it is desirable to keep track of the distribution of people within the enclosed space. These applications range from smart house with automatically controlled...
Stochastic signal design is studied for the downlink of a multiuser communications system. First, a formulation is proposed for the joint design of optimal stochastic signals. Then, an approximate formulation, which can get arbitrarily close to the optimal solution, is obtained based on convex relaxation. In addition, when the receivers employ symmetric signaling and sign detectors, it is shown that...
This paper studies a robust synchronization of nonlinear stochastic coupled networks under time-delays and environmental noises. A nonlinear stochastic dynamic model with time delays is proposed for describing a coupled nonlinear network under time delays, intrinsic parameter fluctuations, and extrinsic disturbances. We propose a robust synchronization criterion for attenuating these intrinsic parameter...
Stochastic electromagnetic fields can be described by the auto- and cross correlation spectra of the electric and magnetic field values at pairs of points in space. In this work the characterization of noisy electromagnetic fields by sampling the field values in pairs of sampling points is discussed. Sampling of the electric or magnetic field values in all pairs of a set of sampling points yields...
The objective of source seeking problems is to determine the minimum of an unknown signal field, which represents a physical quantity of interest, such as heat, chemical concentration, or sound. This paper proposes a strategy for source seeking in a noisy signal field using a mobile robot and based on a stochastic gradient descent algorithm. Our scheme does not require a prior map of the environment...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.