... 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...

.... As the excitation frequency goes 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...

... 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...

... implemented on physical systems without observing uncertain parameters. 18 09 2008 29 08 2010 29 10 2010 29 10 2010 chaos control system synthesis Galerkin method linear quadratic control polynomials probability state-space methods uncertain systems polynomial chaos...

... Computational cost comparison This paper exploits the polynomial chaos approximation to represent the residual energy random variable. A general development, which permits the use of any probability density function in conjunction with a polynomial chaos based representation of the uncertain variables...

... 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. Contributed by the Dynamic Systems, Measurement, and Control Division of THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS for publication in the ASME JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT...

... 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...