National Repository of Grey Literature 603 records found  1 - 10nextend  jump to record: Search took 0.01 seconds. 
Approximate Bayesian state estimation and output prediction using state-space model with uniform noise
Lainová, Eva ; Kuklišová Pavelková, Lenka ; Jirsa, Ladislav
This paper contributes to the problem of approximate Bayesian state estimation and output prediction using state space model with uniformly distributed noise. Algorithms for Bayesian filtering and output prediction for states uniformly distributed on an orthotopic support and Bayesian filtering and output prediction for states uniformly distributed on a parallelotopic support are presented and compared.
Analysis of corrosion damage of steem pipe by acoustic emission: results for a pipe in EBO
Tichavský, Petr
We studied acoustics emission of steem pipes from measurements from EBO. We counted frequency of sudden increases of the acoustics emission, which can be used as indicator of corosion demage of the pipes.
Detection of weak signals in noise
Tichavský, Petr
In this report, a bound on amplitude of impuls signal detection in stationary background noise is computed.\nIt was evaluated for an experiment with acoustic emission from mechanically strained sample.
Experiment: Cooperative Decision Making via Reinforcement Learning
Berka, Milan
This report inspects cooperative decision making task using reinforcement learning. It serves for comparison with methodology based on fully probabilistic design of decision strategies.
Bakule, Lubomír ; Papík, Martin ; Rehák, Branislav
DCTOOL-A5 presents draft of a manuscript, which is intended to be submitted for publication. This report presents a new method for the decentralized event-triggered control design for large-scale uncertain systems. The results are formulated and proved in terms of linear matrix inequalities. Two design problems are solved: For interconnected systems without any quantization and for interconnected systems with local logarithmic quantizers. Results are illustrated by an example.
Bakule, Lubomír ; Papík, Martin ; Rehák, Branislav
DCTOOL-A4 report presents draft of a manuscript, which is intended to be submitted for publication. The report provides a novel systematic approach to the analysis of asymptotic stability for output event-triggered uncertain centralized control systems. A class of nonlinear but nominally linear systems possessing unknown time-varying bounded uncertainties with known bounds is considered. Uncertainties are allowed in all system matrices. Original LMI-based suffi cient conditions are derived to guarantee asymptotic stability of closed-loop systems with both static output and observer-based feedback loop under even-triggered control. Both these output feedback strategies are extended to model-based uncertain control systems with\nquantized measurements. A logarithmic quantizer is considered. The Lyapunov-based approach and convex optimization serve as the main methods to derive the asymptotic LMI-based stability conditions. Bounds on the inter-event times to avoid the Zeno-effect are proved for all the cases considered. Finally, feasibility and effi ciency of the proposed strategies is demonstrated by providing numerical examples.
Balancing Exploitation and Exploration via Fully Probabilistic Design of Decision Policies
Kárný, Miroslav ; Hůla, František
Adaptive decision making learns an environment model serving a design of a decision policy. The policy-generated actions influence both the acquired reward and the future knowledge. The optimal policy properly balances exploitation with exploration. The inherent dimensionality\ncurse of decision making under incomplete knowledge prevents the realisation of the optimal design.
Payment regulatory mechanism as a source of wage increases in healthcare
Grim, Jiří
The principle of health insurance presupposes that the patient will contact a doctor who will provide him / her with professional help, whereby the doctor, medical expenses and additional examinations are paid by the health insurance company. The result is a spontaneous increase in health care costs well-known in the nineties. It is clear that there is no negative feedback in the system where the healthcare provided must be made by doctors in contact with patients and its costs are being covered by health insurance companies. As a result of this gross systemic error, there is a continuing pressure to increase healthcare spending and imminent insolvency forces the health insurers to introduce regulatory measures to curb the cost increase.

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