• No results found

[PDF] Top 20 Change Point Problems in Linear Dynamical Systems

Has 10000 "Change Point Problems in Linear Dynamical Systems" found on our website. Below are the top 20 most common "Change Point Problems in Linear Dynamical Systems".

Change Point Problems in Linear Dynamical Systems

Change Point Problems in Linear Dynamical Systems

... The restriction that there are only two non-absorbing regimes is only made for clarity of the exposition. In general the model has M non-absorbing regimes that form stages. No stage can be skipped, and once the system ... See full document

28

Critical Point Theorems for Nonlinear Dynamical Systems and Their Applications

Critical Point Theorems for Nonlinear Dynamical Systems and Their Applications

... critical point theorems for nonlinear dynamical systems which are generalizations of Dancˇs, Heged ¨us and Medvegyev’s principles in uniform spaces and metric spaces by applying an abstract maximal ... See full document

16

Finite and infinite ergodic theory for linear and conformal dynamical systems

Finite and infinite ergodic theory for linear and conformal dynamical systems

... the point at infinity, Q ∪ {∞} ...a point where we find two neighbouring segments with different ...type change point directly before termination into a vertex of F ...type change ... See full document

188

Detecting parameter change in dynamical systems using statistical methods

Detecting parameter change in dynamical systems using statistical methods

... in dynamical systems by now is a popular subject of ...that systems are getting more reli- able and more safe ...different dynamical systems could vary a lot in how they behave, there ... See full document

26

Digital Signal Design for Fault Detection in Linear Continuous Dynamical Systems

Digital Signal Design for Fault Detection in Linear Continuous Dynamical Systems

... These procedures have been implemented in Scilab programs. Scilab is a software environment developed at INRIA [14]. It is used at a number of industries and has a large user base. It has a very similar syntax to MATLAB ... See full document

157

Perturbation in Nonlinear Operator Dynamical Systems

Perturbation in Nonlinear Operator Dynamical Systems

... mentioned dynamical systems which involved delay, integral, and functional differential equations involved linear operators and have not been studied in a unified ...value problems for partial ... See full document

9

Solution of Linear Dynamical Systems Using Lucas Polynomials of the Second Kind

Solution of Linear Dynamical Systems Using Lucas Polynomials of the Second Kind

... relation, i.e. the generalized Lucas polynomials of the second kind, we have shown how to obtain the solution of vectorial dynamical problems, both in the discrete (3.1) and continuous (3.3) case, in terms ... See full document

13

Simulation of Traffic Lights for Green Wave and Dynamically Change of Signal

Simulation of Traffic Lights for Green Wave and Dynamically Change of Signal

... control systems, it can be easily recognized remarkable improvement of signal ...fuzzy systems deal with complex systems where imprecise, uncertain or ambiguous information is available, where the ... See full document

8

Characterising linear spatio-temporal dynamical systems in the frequency domain

Characterising linear spatio-temporal dynamical systems in the frequency domain

... Finite difference (FD) schemes are a simple approach to solve differential equations by means of differencing methods (Ames, 1992; Strikwerda, 1989). Taking the partial differential equation (3) as an example, finite ... See full document

13

Gradient Descent Learns Linear Dynamical Systems

Gradient Descent Learns Linear Dynamical Systems

... assumption illustrated earlier, we show in Section 3 that the idealized risk is weakly quasi- convex (Lemma 3.3). Quasi-convexity implies that gradients cannot vanish except at the optimum of the objective function; we ... See full document

44

Estimation of Parameters of Boundary Value Problems for Linear Ordinary Differential Equations with Uncertain Data

Estimation of Parameters of Boundary Value Problems for Linear Ordinary Differential Equations with Uncertain Data

... of linear functionals on solutions to two-point boundary value problems (BVPs) for systems of linear first-order ordinary differential equations from observations which are ... See full document

29

Tensor Product Representation for Switched Linear Systems

Tensor Product Representation for Switched Linear Systems

... switched linear systems is globally table or globally asymptotically ...switched systems are completely bounded, which is the very key condition for our study ...switched linear system in (6) ... See full document

16

A Note on Parameterized Preconditioned Method for Singular Saddle Point Problems

A Note on Parameterized Preconditioned Method for Singular Saddle Point Problems

... Evidently, the matrix M ( , ) α β can act as a preconditioner for solving the linear system (1), which is called the PPHSS preconditioner. The PPHSS method is a special case of the generalized preconditioned HSS ... See full document

6

Controllability of Linear Time-invariant Dynamical Systems with Fuzzy Initial Condition

Controllability of Linear Time-invariant Dynamical Systems with Fuzzy Initial Condition

... fuzzy dynamical control systems is a very important concept in the design of fuzzy ...fuzzy systems are classified mainly in three cate- gories, namely pure fuzzy systems in which the dynamics ... See full document

6

Adaptation in Stochastic Dynamic Systems—Survey and New Results I

Adaptation in Stochastic Dynamic Systems—Survey and New Results I

... The whole vector space of unknown model parameters is, firstly, partitioned and secondly, approximated by a set of design vectors. Based on each of those vectors, the optimal system is built, and the conditional ... See full document

7

On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters

On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters

... Linear Dynamical Systems (LDS) are a key standard tool in modeling and forecasting time series, with an exceedingly large number of applications. In forecasting with an LDS, typically one learns the ... See full document

8

Dynamics importance sampling for the activation problem in nonequilibrium continuous systems and maps

Dynamics importance sampling for the activation problem in nonequilibrium continuous systems and maps

... from the stable attractor: this boundary has nothing to do with the boundary of the basin of attraction, but it delineate where we define the diffusive regimes to change to ballistic. When the boundary is crossed, ... See full document

10

On dynamical systems

On dynamical systems

... We express the quotient space in terms of a non-transitive subshift of finite type, give a necessary and sufficient condition for the existence of a local product structure and evaluate [r] ... See full document

113

A Galerkin method of O(h2) for singular boundary value problems

A Galerkin method of O(h2) for singular boundary value problems

... p is an increasing function on (0,1). The linear case with more general settings was considered in [2] and a nonlinear case was considered in [3]. The special case consid- ered here requires a different approach to ... See full document

9

Semi-smooth Newton methods for time-optimal control for a class of odes

Semi-smooth Newton methods for time-optimal control for a class of odes

... Time optimal ontrol problems for a lass of linear multi-input systems are.. onsidered.[r] ... See full document

25

Show all 10000 documents...