By a switched system, we mean a hybrid dynamical system consisting of a family of continuous-time subsystems and a rule that orchestrates the switching between them. The article surveys developments in three basic problems regarding stability and design of switched systems. These problems are: stability for arbitrary switching sequences, stability for certain useful classes of switching sequences, and construction of stabilizing switching sequences. We also provide motivation for studying these problems by discussing how they arise in connection with various questions of interest in control theory and applications.

Basic problems in stability and design of switched systems

This book, written by two major figures in adaptive control, provides a wealth of material for researchers, practitioners, and students. While some researchers in adaptive control may note the absence of a particular topic, the book‘s scope represents a high-gain instrument. It can be used by designers of control systems to enhance their work through the information on many new theoretical developments, and can be used by mathematical control theory specialists to adapt their research to practical needs. The book is strongly recommended to anyone interested in adaptive control.

Adaptive Control

System Identification I

Formation and control of optimal trajectory in human multijoint arm movement : minimum torque-change model

The aim of this paper is to review the state-of-the-art of Field Programmable Gate Array (FPGA) technologies and their contribution to industrial control applications. Authors start by addressing various research fields which can exploit the advantages of FPGAs. The features of these devices are then presented, followed by their corresponding design tools. To illustrate the benefits of using FPGAs in the case of complex control applications, a sensorless motor controller has been treated. This controller is based on the Extended Kalman Filter. Its development has been made according to a dedicated design methodology, which is also discussed. The use of FPGAs to implement artificial intelligence-based industrial controllers is then briefly reviewed. The final section presents two short case studies of Neural Network control systems designs targeting FPGAs.

https://hal-centralesupelec.archives-ouvertes.fr/hal-01337007/document

FPGAs in Industrial Control Applications

This paper develops an fuzzy mapping methodology for brightness improvement of color display systems using white sub-pixels. Based on human vision discrimination, three novel white sub-pixel filter structures without loss of original resolution are presented to enhance brightness of conventional stripe, Delta and PenTile color filter architectures. A new mapping fuzzy algorithm using RGB sub-pixel data around a white subpixel is proposed to improve overall image quality. Numerous simulation results are provided to show the efficacy of the proposed method for improving conventional stripe, delta and PenTile display systems. Experimental results are described which has been conducted to show that the proposed color display system performs well for electronic consumer products, such as notebooks, personal digital assistants, and mobile phone, etc.

Brightness Improvement of Color Display Systems Using White Sub-pixel Structure and Fuzzy Mapping Algorithm

This paper presents an intelligent adaptive steering control using linear quadratic regulation (LQR) approach and fuzzy cerebella model articulation control (CMAC) method for an electrical unicycle. The fuzzy CMAC is employed to on-line learn unknown frictions between the wheel and the terrain surfaces. The LQR approach is used to design a state feedback controller, in order to simultaneously achieve self-balancing and velocity control for the unicycle with different riders. The performance and merit of the proposed method are well exemplified by conducting simulations on a laboratory-built electric unicycle.

Intelligent adaptive steering control for electric unicycles

This paper is the continuation of Conant's work (1976), which used the n‐dimensional information theory to investigate complex systems with many diverse parts interacting in a nontrivial way. A more general information partition law is established. The proposed law incorporates the input partition law and Conant's law. An example is used to illustrate the implications of the proposed partition results. The proposed methods are expected to be well suited for hierarchical system analysis.

A new partition law of information which governs systems

This paper estimates the yields of DNA double-strand breaks (DSBs) induced by ultrasoft X-rays and uses the DSB yields and the repair outcomes to evaluate the relative biological effectiveness (RBE) of ultrasoft X-rays. We simulated the yields of DSB induction and predicted them in the presence and absence of oxygen, using a Monte Carlo damage simulation (MCDS) software, to calculate the RBE. Monte Carlo excision repair (MCER) simulations were also performed to calculate the repair outcomes (correct repairs, mutations, and DSB conversions). Compared to 60Co γ-rays, the RBE values for ultrasoft X-rays (titanium K-shell, aluminum K-shell, copper L-shell, and carbon K-shell) for DSB induction were respectively 1.3, 1.9, 2.3, and 2.6 under aerobic conditions and 1.3, 2.1, 2.5, and 2.9 under a hypoxic condition (2% O2). The RBE values for enzymatic DSBs were 1.6, 2.1, 2.3, and 2.4, respectively, indicating that the enzymatic DSB yields are comparable to the yields of DSB induction. The synergistic effects of DSB induction and enzymatic DSB formation further facilitate cell killing and the advantage in cancer treatment.

/pdf/monte-carlo-simulation-of-double-strand-break-induction-and-44bbj7jwgd.pdf

Monte Carlo Simulation of Double-Strand Break Induction and Conversion after Ultrasoft X-rays Irradiation.

This paper presents two exponential leader-follower consensus formation control approaches with collision and obstacle avoidance for a networked, homogenous quadrotors cooperatively flying at a fixed altitude. The dynamic behavior of each quadrotor is modelled by a fourth-order system model and the multi-quadrotor system is modeled by a directed graph which has a spanning tree with the root being the leader. By using the Lyapunov and sliding-mode control techniques, two exponential, distributed consensus formation control approaches are presented to accomplish consensus formation control. Simulations are conducted to show the effectiveness and merits of the proposed methods with Collision - free and obstacle-avoidance methods.

Ching-Chih Tsai

Papers

Brightness Improvement of Color Display Systems Using White Sub-pixel Structure and Fuzzy Mapping Algorithm

Intelligent adaptive steering control for electric unicycles

A new partition law of information which governs systems

Monte Carlo Simulation of Double-Strand Break Induction and Conversion after Ultrasoft X-rays Irradiation.

Exponential distributed leader-follower consensus formation control of a networked fourth-order multi-quadrotor system