Proceedings of the 7th Sound and Music Computing Conference

Proceedings of the SMC2010 - 7th Sound and Music Computing Conference, July 21st - July 24th 2010

LIPIcs, Volume 261, ICALP 2023, Complete Volume

LIPIcs, Volume 261, ICALP 2023, Complete Volum

Robust eigenvalue placement optimization for high-order descriptor systems in a union region with disjoint discs based on harmony search algorithm

In this paper, a new optimization scheme is proposed for robust eigenvalue placement in high-order descriptor systems in union region based on harmony search algorithm. The specification on the closed-loop eigenvalues is given in terms of robust union region stability constraints. The radius or the position of the subregions can be arbitrarily specified in complex plane for the transient performance request. By using exact eigenvalue placement theory and combining the harmony search algorithm, the robust eigenvalue placement for high-order descriptor linear system in union region is converted into a global dynamical optimization problem. Further, the eigenstructure of the closed-loop system matrix can be optimized with better robustness bound (i.e., the spectral upper bound of the maximum allowable perturbation or uncertainty for the system matrices) by the proposed scheme without imposing restriction on the differentiability of the nonlinear robust measure index function. Consequently, the robust feedback controller can be obtained by dynamically optimizing the eigenvalue and eigenvector pairs of the system. Finally, the simulation results illustrate the effectiveness and superiority of the proposed method

Using MapReduce Streaming for Distributed Life Simulation on the Cloud

Distributed software simulations are indispensable in the study of large-scale life models but often require the use of technically complex lower-level distributed computing frameworks, such as MPI. We propose to overcome the complexity challenge by applying the emerging MapReduce (MR) model to distributed life simulations and by running such simulations on the cloud. Technically, we design optimized MR streaming algorithms for discrete and continuous versions of Conway’s life according to a general MR streaming pattern. We chose life because it is simple enough as a testbed for MR’s applicability to a-life simulations and general enough to make our results applicable to various lattice-based a-life models. We implement and empirically evaluate our algorithms’ performance on Amazon’s Elastic MR cloud. Our experiments demonstrate that a single MR optimization technique called strip partitioning can reduce the execution time of continuous life simulations by 64%. To the best of our knowledge, we are the first to propose and evaluate MR streaming algorithms for lattice-based simulations. Our algorithms can serve as prototypes in the development of novel MR simulation algorithms for large-scale lattice-based a-life models.https://digitalcommons.chapman.edu/scs_books/1014/thumbnail.jp

Safety and Reliability - Safe Societies in a Changing World

The contributions cover a wide range of methodologies and application areas for safety and reliability that contribute to safe societies in a changing world. These methodologies and applications include: - foundations of risk and reliability assessment and management - mathematical methods in reliability and safety - risk assessment - risk management - system reliability - uncertainty analysis - digitalization and big data - prognostics and system health management - occupational safety - accident and incident modeling - maintenance modeling and applications - simulation for safety and reliability analysis - dynamic risk and barrier management - organizational factors and safety culture - human factors and human reliability - resilience engineering - structural reliability - natural hazards - security - economic analysis in risk managemen