robust controlThis paper presents a new theory, known as robust dynamic programming, for a class of continuous-time dynamical systems. Different from traditional dynamic programming (DP) methods, this new theory serves as a fundamental tool to analyze the robustness of DP algorithms, and, in ...
adaptive robust controlmodel uncertaintystochastic controltime-consistencydynamic programmingoptimal acquisitiononline learningalgorithmic tradingWe propose a continuous-time version of the adaptive robust methodology introduced in Bielecki et al. (2019). An agent solves a stochastic control problem whe...
Differential flatness-based robust control of mobile robots in the presence of slip The International Journal of Robotics Research, 30 (4) (2011), pp. 463-475 CrossrefView in ScopusGoogle Scholar Snape and et al., 2010 Snape, J., Van Den Berg, J., Guy, S.J., and Manocha, D. (20...
As long as the noise uncertainty is limited within this bound via noise control, the Kalman filter has robustness against noise uncertainty, and stability of dynamic systems can be ensured. It is proved by game theory that this design is a robust mini-max filter. A numerical example shows ...
In this paper, a novel robust adaptive dynamic programming (RADP)-based control strategy is presented for the optimal control of a class of output-constrained continuous-time unknown nonlinear systems. Our contribution includes a step forward beyond the usual optimal control result to show that the...
Robust EMC performance • High ESD rating • Regulator stability without a bypass capacitor PACKAGES: Not to scale NOT FOR NEW DESIGN 3-pin SOT23W (suffix LH) 3-pin SIP, matrix HD style (suffix UA) VCC 3-pin SIP, chopper style (suffix UA) DESCRIPTION The Allegro™ A1205 Hall-...
Robust fixed-time distributed optimization with predefined convergence-time bound 2024, Journal of the Franklin Institute Citation Excerpt : Therefore, the problem of source localization using multiple agents has been recently investigated [5–7]. As discussed in [8,9], such practical problems can be...
This paper presents a robust, tube-based nonlinear model predictive controller for continuous-time systems with additive disturbances which cascades two sa... E Hill,SA Gadsden,M Biglarbegian - 《Journal of Dynamic Systems Measurement & Control》 被引量: 0发表: 2022年 Event-triggered MPC for li...
Abstract This book entry discusses model-free reinforcement learning algorithms based on a continuous-time Q-learning framework. The presented schemes solve infinite-horizon optimization problems of linear time-invariant systems with completely unknown dynamics and single or multiple players/controllers. We ...
however these OpenMx based functions have been split off into a sub package, ctsemOMX. For most use cases the newer formulation (with Kalman filtering coded in Stan) is faster, more robust, and more flexible, and both default to maximum likelihood. For cases with many subjects, few time ...