Limit state reliability optimization accounting for geometric effects

This paper proposes a unified formulation of reliability-based limit state optimization problems for discrete structures. Two approaches are presented: neglecting and accounting for nonlinear geometric effects at the limit state. For discrete structures, the classical limit state problem may be defined as a linear program, whereas the limit state problem accounting for geometric effects is considered as a two-level linear program. A portal frame example is considered in detail. Results of deterministic- and reliability-based optimization are compared. In both cases the impact on structural safety due to neglecting geometric effects is discussed.     

Preface

Preface

Preface     

Non-fragile dynamic output feedback H∞ control for discrete-time systems with FWL consideration

The non-fragile dynamic output feedback H _∞ controller design problem is investigated. The controller to be designed is assumed to be with additive gain variations. A two-step procedure is proposed to develop sufficient conditions for the non-fragile H _∞ controller design by employing the structured vertex separator. A comparison between the proposed and the existing controller design methods is provided, and a numerical example is carried out to support the theoretical findings.     

白云鄂博铁矿东矿边坡稳定性研究

针对白云鄂博铁矿东矿C区边坡产生的3处不稳定滑体,结合现场工程地质勘察和岩石力学试验,采用理正岩土分析软件5.5版及加拿大岩质边坡稳定性分析计算软件SLIDE5.0对削坡、锚索加固、注浆的二次加固措施进行了分析计算,通过计算得到的安全系数来综合判断该二次加固措施的有效性。分析计算结果表明,通过削坡、锚索加固、注浆的加固措施,可以使白云鄂博铁矿东矿C区边坡最危险滑面的安全系数达到1.186,符合设计边坡稳定安全系数要求。文章最后提出了实施这些措施时的注意事项。     

基于水印和密码的数字版权管理模型的研究

在分析了数字版权研究现状和功能框架的基础上,设计了基于多重数字水印和密码的版权管理模型;该模型采用数字内容和许可证各自单独封装、独立分发的方式,使得只有购买了许可证的特定用户才能使用数字内容,实现了水印作品的许可交易;另外,内容服务器采用的对数字作品加载两次水印,对数字内容部分签名加密,未加密部分签名的方案,在有效保证数字内容安全传输的基础上又减少了计算量和存储量;分析表明该模型有显著的优点和很好的安全性。     

Piecewise output feedback control for affine systems with disturbances based on linear temporal logic specifications

In the paper,we investigate the problem of finding a piecewise output feedback control law for an uncertain affine system such that the resulting closed-loop output satisfies a desired linear temporal logic (LTL) specification.A two-level hierarchical approach is proposed to solve the problem in a triangularized output space.In the lower level,we explore whether there exists a robust output feedback control law to make the output starting in a simplex either remains in it or leaves via a specific facet.In the higher level,for the triangularization,we construct the transition system according to the reachability relationship obtained in the lower level and search for feasible paths that meet the LTL specification.The control approach is then applied to solve a motion planning problem.     

Editorial: Special issue on approximate dynamic programming and reinforcement learning

We are extremely pleased to present this special issue of the Journal of Control Theory and Applications.Approximate dynamic programming (ADP) is a general and effective approach for solving optimal control and estimation problems by adapting to uncertain environments over time.ADP optimizes the sensing objectives accrued over a future time interval with respect to an adaptive control law,conditioned on prior knowledge of the system,its state,and uncertainties.A numerical search over the present value of the control minimizes a Hamilton-Jacobi-Bellman (HJB) equation providing a basis for real-time,approximate optimal control.     

Approximate dynamic programming solutions with a single network adaptive critic for a class of nonlinear systems

Approximate dynamic programming (ADP) formulation implemented with an adaptive critic (AC)-based neural network (NN) structure has evolved as a powerful technique for solving the Hamilton-Jacobi-Bellman (HJB) equations. As interest in ADP and the AC solutions are escalating with time, there is a dire need to consider possible enabling factors for their implementations. A typical AC structure consists of two interacting NNs, which is computationally expensive. In this paper, a new architecture, called the ‘cost-function-based single network adaptive critic (J-SNAC)’ is presented, which eliminates one of the networks in a typical AC structure. This approach is applicable to a wide class of nonlinear systems in engineering. In order to demonstrate the benefits and the control synthesis with the J-SNAC, two problems have been solved with the AC and the J-SNAC approaches. Results are presented, which show savings of about 50% of the computational costs by J-SNAC while having the same accuracy levels of the dual network structure in solving for optimal control. Furthermore, convergence of the J-SNAC iterations, which reduces to a least-squares problem, is discussed; for linear systems, the iterative process is shown to reduce to solving the familiar algebraic Ricatti equation.     

A review of stochastic algorithms with continuous value function approximation and some new approximate policy iteration algorithms for multidimensional continuous applications

We review the literature on approximate dynamic programming, with the goal of better understanding the theory behind practical algorithms for solving dynamic programs with continuous and vector-valued states and actions and complex information processes. We build on the literature that has addressed the well-known problem of multidimensional (and possibly continuous) states, and the extensive literature on model-free dynamic programming, which also assumes that the expectation in Bellman’s equation cannot be computed. However, we point out complications that arise when the actions/controls are vector-valued and possibly continuous. We then describe some recent research by the authors on approximate policy iteration algorithms that offer convergence guarantees (with technical assumptions) for both parametric and nonparametric architectures for the value function.     

Adaptive control for a class of nonlinear systems with time-varying delays in state and input

This paper is concerned with the adaptive stabilization problem of uncertain input delayed systems.A solution to this problem is given for a class of uncertain nonlinear systems with time-varying delays in both state and input.An adaptive asymptotically stabilizing controller,which can guarantee the stability of the closed-loop system and the convergence of the original system state,is designed by means of the Lyapunov-Krasovskii functional stability theory combined with linear matrix inequalities (LMIs) an...