This paper investigates the adaptive robust control problem based on reinforcement learning for an affine nonlinear system with unknown time-varying uncertainty. Inspired by ability to estimate uncertainty of neural network, a novel policy iteration algorithm is proposed which alternates between value evaluation, estimation, and update steps until law obtained. Especially during step approximat...

........................................................................................................................................................ 2 Acknowledgements ....................................................................................................................................... 3 Introduction .............................................................................

Let `p be the space of all p-summable sequences on Z. An infinite matrix is said to have `p-stability if it is bounded and has bounded inverse on `p. In this paper, a practical criterion is established for the `p-stability of convolution-dominated infinite matrices.

The introduction of a small amount of bounded rationality into a model sometimes has little effect, and sometimes has a dramatic impact on predicted behavior. We call a model robust to bounded rationality if small deviations from rationality result only in small changes in the equilibrium set. We also say that a model is structurally stable if the equilibrium set (given fully rational agents) v...

In this work, we develop model predictive control (MPC) designs, which are capable of optimizing closed-loop performance with respect to general economic considerations for a broad class of nonlinear process systems. Specifically, in the proposed designs, the economic MPC optimizes a cost function, which is related directly to desired economic considerations and is not necessarily dependent on ...

Abstract Tiltrotor aircraft are growing in prevalence due to the usefulness of their unique flight envelope. However, aeroelastic stability—particularly whirl flutter stability—is a major design influence that demands accurate prediction. Several nonlinearities may be present tiltrotor systems, such as freeplay, often neglected for simplicity, either modelling or stability analysis. effects can...

This past October, I published an editorial (Blatt, 2015) appraising the social media phenomenon of PubPeer. I raised several issues with the Web site that I maintain do not serve the scientific community and will only entrench many of the underlying attitudes and behaviors that PubPeer claims it seeks to counter. The response tomyeditorial exceededall expectations— in 18 days it garnered 348 c...

The introduction of a small amount of bounded rationality into a model sometimes has little effect, and sometimes has a dramatic impact on predicted behavior. We call a model robust to bounded rationality if small deviations from rationality result only in small changes in the equilibrium set. We also say that a model is structurally stable if the equilibrium set (given fully rational agents) v...

This brief addresses the robust asymptotic and BIB0(bounded-input bounded-output) stability of a class of linear shift-variant multidimensional systems. Using a shift-invariant comparisonsystem, necessary and sufficient conditions for the stability of the entirefamily of systems are derived.

Abstract: A new output feedback controller design approach for flexible-joint (FJ) robots via the observer dynamic surface design technique is presented. The proposed approach only requires the feedback of position states. We first design an observer to estimate the link and actuator velocity information. Then, the link position tracking controller using the observer dynamic surface design proc...