scholarly journals On approximate solvability set construction in a guidance problem for a time-invariant control system on a finite time interval

2017 ◽  
Vol 27 (2) ◽  
pp. 210-221
Author(s):  
G.V. Parshikov ◽  
Keyword(s):  
Control System ◽  
Finite Time ◽  
Time Interval ◽  
Finite Time Interval ◽  
Invariant Control ◽  
Time Invariant ◽  
Solvability Set ◽  
Guidance Problem

scholarly journals On Some Nonlinear Control System Problems on a Finite Time Interval.

2018 ◽  
Vol 51 (32) ◽  
pp. 832-837
Author(s):  
V.N. Ushakov ◽  
V.I. Ukhobotov ◽  
A.R. Matviychuk ◽  
G.V. Parshikov
Keyword(s):  
Control System ◽  
Nonlinear Control ◽  
Finite Time ◽  
Nonlinear Control System ◽  
Time Interval ◽  
Finite Time Interval

Guaranteed Cost Control for Interval Type-2 Fuzzy Semi-Markov Switching Systems within A Finite-Time Interval

2021 ◽  
pp. 1-1
Author(s):  
Linchuang Zhang ◽  
Yonghui Sun ◽  
Hak-Keung Lam ◽  
Hongyi Li ◽  
Jianxi Wang ◽  
...  
Keyword(s):  
Finite Time ◽  
Cost Control ◽  
Markov Switching ◽  
Guaranteed Cost Control ◽  
Time Interval ◽  
Switching Systems ◽  
Finite Time Interval ◽  
Guaranteed Cost ◽  
Interval Type

A finite-time ruin probability formula for continuous claim severities

2004 ◽  
Vol 41 (2) ◽  
pp. 570-578 ◽  
Author(s):  
Zvetan G. Ignatov ◽  
Vladimir K. Kaishev
Keyword(s):  
Real Function ◽  
Finite Time ◽  
Ruin Probability ◽  
Joint Distribution ◽  
Time Interval ◽  
Insurance Company ◽  
Finite Time Interval ◽  
Appell Polynomials ◽  
Premium Income ◽  
Inverted Dirichlet

An explicit formula for the probability of nonruin of an insurance company in a finite time interval is derived, assuming Poisson claim arrivals, any continuous joint distribution of the claim amounts and any nonnegative, increasing real function representing its premium income. The formula is compact and expresses the nonruin probability in terms of Appell polynomials. An example, illustrating its numerical convenience, is also given in the case of inverted Dirichlet-distributed claims and a linearly increasing premium-income function.

Some Statistical Properties of Signal Plus Narrow Band Noise Integrated over a Finite Time Interval

1956 ◽  
Vol 27 (12) ◽  
pp. 1442-1448 ◽  
Author(s):  
L. C. Maximon ◽  
J. P. Ruina
Keyword(s):  
Finite Time ◽  
Narrow Band ◽  
Statistical Properties ◽  
Time Interval ◽  
Finite Time Interval ◽  
Narrow Band Noise ◽  
Band Noise

scholarly journals Finite-Time Boundedness for a Class of Delayed Markovian Jumping Neural Networks with Partly Unknown Transition Probabilities

2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Li Liang
Keyword(s):  
Neural Networks ◽  
Finite Time ◽  
Transition Probabilities ◽  
The State ◽  
Time Interval ◽  
Finite Time Interval ◽  
Markovian Jumping ◽  
Stochastic Boundedness ◽  
Partly Unknown Transition Probabilities ◽  
Finite Time Boundedness

This paper is concerned with the problem of finite-time boundedness for a class of delayed Markovian jumping neural networks with partly unknown transition probabilities. By introducing the appropriate stochastic Lyapunov-Krasovskii functional and the concept of stochastically finite-time stochastic boundedness for Markovian jumping neural networks, a new method is proposed to guarantee that the state trajectory remains in a bounded region of the state space over a prespecified finite-time interval. Finally, numerical examples are given to illustrate the effectiveness and reduced conservativeness of the proposed results.

On robust controllability of uncertain non-linear jump systems with respect to the finite-time interval

2011 ◽  
Vol 34 (7) ◽  
pp. 841-849 ◽  
Author(s):  
Shuping He ◽  
Fei Liu
Keyword(s):  
Finite Time ◽  
Sufficient Conditions ◽  
Linear Matrix ◽  
Time Interval ◽  
Finite Time Interval ◽  
Markov Jump ◽  
Non Linear ◽  
Robust Controllability ◽  
Jump Systems ◽  
Takagi Sugeno

In this paper we study the robust control problems with respect to the finite-time interval of uncertain non-linear Markov jump systems. By means of Takagi–Sugeno fuzzy models, the overall closed-loop fuzzy dynamics are constructed through selected membership functions. By using the stochastic Lyapunov–Krasovskii functional approach, a sufficient condition is firstly established on the stochastic robust finite-time stabilization. Then, in terms of linear matrix inequalities techniques, the sufficient conditions on the existence of the stochastic finite-time controller are presented and proved. Finally, the design problem is formulated as an optimization one. The simulation results illustrate the effectiveness of the proposed approaches.

$$H_{\infty }$$ H ∞ State Estimation for Stochastic Jumping Neural Networks with Fading Channels Over a Finite-Time Interval

2018 ◽  
Vol 50 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Liang Shen ◽  
Hao Shen ◽  
Mingming Gao ◽  
Yajuan Liu ◽  
Xia Huang
Keyword(s):  
Neural Networks ◽  
State Estimation ◽  
Fading Channels ◽  
Finite Time ◽  
Time Interval ◽  
Finite Time Interval

Investigation of population transfer by sweeping the laser field in a finite time interval

Optik ◽  
2019 ◽  
Vol 181 ◽  
pp. 404-407 ◽  
Author(s):  
Fatemeh Ahmadinouri ◽  
Mehdi Hosseini ◽  
Farrokh Sarreshtedari
Keyword(s):  
Finite Time ◽  
Laser Field ◽  
Time Interval ◽  
Population Transfer ◽  
Finite Time Interval

Resilient H∞ filtering for discrete-time uncertain Markov jump neural networks over a finite-time interval

2016 ◽  
Vol 185 ◽  
pp. 212-219 ◽  
Author(s):  
Mengshen Chen ◽  
Long Zhang ◽  
Hao Shen
Keyword(s):  
Neural Networks ◽  
Discrete Time ◽  
Finite Time ◽  
Time Interval ◽  
Finite Time Interval ◽  
Markov Jump
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