... 12 01 2012 closed loop systems control system synthesis nonlinear control systems optimal control probability stochastic systems uncertain systems The conventional theory of stochastic control is particularly suitable for taking into account randomly varying system parameters...

... be considered for controller designing. According to model uncertainties, the probabilities of satisfaction for every item of dynamic performance requirements were computed and synthesized as the cost function of genetic algorithms, which was used to optimize the parameters of decentralized PID controllers...

...Xiao-li Luan; Fei Liu; Peng Shi In this paper, the problem of finite-time stabilization for a class of uncertain Markov jump systems with partially known transition probabilities is investigated. The main aim of this paper is to derive the finite-time stabilization criteria for the underlying...

... to zero, the damper will produce force at zero velocity until the yield strength of the fluid is reached. The same effect can be found in the random excitation data shown in Fig. 10 . As the velocity of the damper nears zero, the probability density function shows the data points scattered between high...

... of uncertainties via polynomial chaos, a computationally efficient update formula based on EKF, and the ability to provide a posteriori probability densities of the estimated parameters. The method is able to deal with non-Gaussian parametric uncertainties. The paper identifies and theoretically explains...

... that is robust in regard to being stable within the region of support for the parameter distributions, as well as optimal with respect to the probability density functions (PDF) chosen for the parameters. An approach to determining a set of gains to minimize the H 2 norm involves starting from...

..., this corresponds to concurrently minimizing the mean and the support of the probability distribution of the residual energy. This can be achieved by posing a multi-objective optimization problem. The cost function is a weighted sum of the absolute values of the central moments. This cost function can...

... cooler. This degradation was quantified by using box plots and probability density functions of residuals generated by comparing intake manifold temperature of healthy and faulty charge-air coolers. The general applicability of the model was demonstrated by successfully diagnosing a fault in the exhaust...

... accuracy of the release. The paper then shows how to determine the shooter’s probability of making a given shot. 02 Aug 2002 21 April 2003 29 01 2004 sport dynamics probability friction integration statistical distributions 1 General free body diagram 2...

... for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL . Manuscript received by the Dynamic Systems and Control Division December 6, 1999. Associate Editor: S. Fassois. 06 December 1999 parameter estimation Bayes methods estimation theory probability One...