A nonlinear feedback control strategy is presented where the feedback control is augmented with feedback gain sensitivity partial derivatives for handling model uncertainties. Derivative enhanced optimal feedback control is shown to be robust to large changes in the model parameters. The OCEA (Object Oriented Coordinate Embedding) computational differentiation toolbox is used for automatically ...

We prove that TCP Vegas globally converges to its equilibrium point in finite time assuming no feedback information delay. We analyze a continuous-time TCP Vegas model with discontinuity and high nonlinearity. Using the upper right-hand derivative and applying the comparison lemma, we cope with the discontinuous signum function in the TCP Vegas model; using a change of state variables, we deal ...

In this paper, we study the multi-agent system to achieve a faster consensus with multiple time-delays under a directed asymmetric information exchange topology. We first assume that an agent processes its own state information with self-delay and receives state information from its neighbors with communication delays. Based on state proportion derivative feedback, the improved consensus protoc...

This paper mathematically explains how state derivative space (SDS) system form with related feedback can supplement standard in control designs. Practically, inverse optimal is attractive because it construct a stable closed-loop while may not have exact solution. Unlike the previous algorithms which mainly applied feedback, this are carried out utilizing alone SDS system. The effectiveness of...

This paper presents vision-based control strategies for decentralized stabilization of unmanned vehicle formations. Three leader–follower formation control algorithms, which ensure asymptotic co-ordinated motion, are described and compared. The first algorithm is a full state feedback nonlinear controller that requires full knowledge of the leader’s velocities and accelerations. The second algo...

Temperature of fluid stream through tube is a key variable in shell and tube heat exchanger. However, this variable is not easy to measure straightly. Therefore, a state observer is designed to estimate the tube temperature variable for direct control of shell and tube heat exchanger. A dynamical state space model is used to describe the heat exchanger process. Kalman filter based observer is d...

A class of adaptive disturbance tracking controllers (ADTCs) is augmented with disturbance and state estimation and adaptive state feedback, in which a controller and estimator, which are designed on the basis of a lower-order model, are used to control a higher-order nonlinear plant. The ADTC requires that the plant be almost strict positive real (ASPR) to ensure stability. In this paper, we s...

In this paper, a low power, output-capacitor-free, low-dropout regulator (LDO) is proposed with a new dynamic biased, multiloop feedback strategy. Initially, a theoretical macromodel is presented based on the analogy between the capless LDO and the mechanical non-linear harmonic oscillator, enabling to shed new light on the non-linear amplification, dynamic and adaptive biasing techniques used ...

where x(t) ∈ IRn is the state, u(t) ∈ IRp the input, d(t) ∈ IRq is a disturbance and y(t) ∈ IRm the output. The matrices A0, A1, A−1, B0, C0 and D0 are of suitable dimensions. In this paper we assume that matrices B0 and C0 are of full rank. There are more general forms of delay systems of neutral type: with several delays, with distributed delays... Our considerations may be formulated for sys...

this paper is concerned with the problem of designing discrete-time control systems with closed-loop eigenvalues in a prescribed region of stability. first, we obtain a state feedback matrix which assigns all the eigenvalues to zero, and then by elementary similarity operations we find a state feedback which assigns the eigenvalues inside a circle with center   and radius. this new algorithm ca...