Abstract— This paper concentrates upon a new stabilization for nonlinear time-delay systems via the Takagi-Sugeno (TS) fuzzy model approach. At first, we represent a nonlinear timedelay system as a kind of neutral-type TS fuzzy systems with a block delay. And then, we propose a new fuzzy weightingdependent Lyapunov-Krasovskii functional (FWD-LKF), which directly includes the fuzzy weighting fun...

In embedded computers, there are delays due to computation time. Unless they are considered, a controlled system may be unstable. If the system is unknown, Q-learningbased optimal control is one of the useful approaches. Applying it to a system, we can obtain the optimal feedback gain for the unknown system. In this paper, we propose Q-learning-based optimal feedback control taking the delay in...

Artificially regulating gene expression is an important step in developing new treatment for system-level disease such as cancer. In this paper, we propose a method to regulate gene expression based on sampled-data measurements of gene products concentrations. Inherent noisy behaviour of Gene regulatory networks are modeled with stochastic nonlinear differential equation. To synthesize feed...

In this paper, improved conditions for the synthesis of static state-feedback controller are derived to stabilize networked control systems (NCSs) subject to actuator saturation. Both of the data packet latency and dropout which deteriorate the performance of the closed-loop system are considered in the NCS model via variable delays. Two different techniques are employed to incorporate actuator...

linear state bisection is introduced as a new method to find time-invariant state feedback control laws for a special form of underactuated nonlinear systems. the specialty of the systems considered is that every unactuated state should be coupled with at least two directly actuated states. the basic idea is based on bisecting actuated states and using linear combinations with adjustable parame...

In this paper new necessary and sufficient conditions for static output feedback robust controller design for linear discrete timeinvariant systems have been used. The output feedback robust controller design may be reduced to the problem of finding a feasible point under Biaffine Matrix Inequality constraint. In this paper the BMI problem of the output feedback robust controller design has bee...

In this paper, first a new algorithm for pole assignment of closed-loop multi-variable controllable systems in a prescribed region of the z-plane is presented. Then, robust state feedback controllers are designed by implementing a neural fuzzy system for the placement of closed-loop poles of a controllable system in a prescribed region in the left-hand side of z-plane. A new method based on the...

This paper proposes guaranteed cost design of robust output feedback controller for continuous linear parametric uncertain systems. New necessary and sufficient conditions for static output feedback stabilizability of linear continuous time systems underly the design procedure. Proposed algorithms are computationally simple and tightly connected with the Lyapunov stability theory and the LQR op...

An L1 adaptive controller of piecewise constant type has been applied to a fighter aircraft by augmenting it to a linear state-feedback controller. Angle of attack and sideslip as well as velocity vector roll rate is demanded and controlled. It is relatively easy to design a controller augmentation this way; few parameters need to be tuned. To design an L1controller for roll/pitch/yaw-motion of...

in this paper, the unified power flow controller (upfc) is enhanced with a chaotic particle swarm optimization (cpso) damping controller in order to mitigate the low frequency oscillations (lfo) in a single machine infinite bus (smib) power system. the designed damping controller is an optimized lead-lag controller, which extracts the speed deviation of the generator rotor and generates the out...