In a typical GNSS receiver, pseudorange and rate measurements are generated through the code carrier tracking loops, respectively. These then employed to calculate user’s position velocity (PV) solutions, which is typically achieved using Kalman filter (KF) or least squares (LS) algorithm. However, LS method only uses current observation without error analysis. The positioning result greatly af...

If we try to estimate the parameters of the AR process {Xn} using the observed process {Xn+Zn} then these estimates will be badly biased and not consistent but we can minimize the damage using a robust estimation procedure such as GM-estimation. The question is does additive contamination affect estimates of “core” parameters in the infinite variance case to the same extent that it does in the ...

We present a distribution-free model of incomplete-information games, both with and without private information, in which the players use a robust optimization approach to contend with payoff uncertainty. Our “robust game” model relaxes the assumptions of Harsanyi’s Bayesian game model, and provides an alternative distribution-free equilibrium concept, which we call “robust-optimization equilib...

This course project outlines an approach for constructing simple, relatively robust control strategies for a simple, physics-based biped character. A simple, articulated character was first built from links in the BOX2D simulator, and tested during each phase of creation. These phases consisted of specifying torques for each joint of the character, creating Proportional Derivative (PD) controll...

This paper presents the SEVA system (Autonomous Vehicle Parking Simulator). This tool implements a robust control system for autonomous vehicle parking based on a FSA (Finite-State Automata) and also based on FSA obtained from trained J-CC ANNs (Jordan CascadeCorrelation Artificial Neural Networks).

This paper presents a robust optimization model for n-person finite state/action stochastic games with incomplete information. We consider nonzero sum discounted stochastic games in which none of the players knows the true data of a game, and each player adopts a robust optimization approach to address the uncertainty. We call these games discounted robust stochastic games. Such games allow us ...

Noncommutative rational functions appeared in many contexts in system theory and control, from the theory of finite automata and formal languages to robust control and LMIs. We survey the construction of noncommutative rational functions, their realization theory and some of their applications. We also develop a difference-differential calculus as a tool for further analysis.

in this paper, a robust pid control scheme is proposed for micro-electro-mechanical-systems(mems) optical switches. the proposed approach is designed in a way which solves twochallenging and important problems. the first one is successful reference tracking and the second ismitigating the system nonlinearities. the overall system composed of nonlinear mems dynamicsand the pid controller is prov...

Since the advent of heteroskedasticity-robust standard errors, several papers have proposed adjustments to the original White formulation. We replicate earlier ndings that each of these adjusted estimators performs quite poorly in nite samples. We propose a class of alternative heteroskedasticity-robust tests of linear hypotheses based on an Edgeworth expansions of the test statistic distributi...