Recently, neural-network-based adaptive control technique has attracted increasing attentions, because it has provided an efficient and effective way in the control of complex nonlinear or ill-defined systems (Duarte-Mermoud et al., 2005; Hsu et al., 2006; Lin and Hsu, 2003; Lin et al., 1999; Peng et al. 2004). The key elements of this success are the approximation capabilities of the neural ne...

In this paper, a two-surfaces sliding mode controller (TSSMC) is proposed for the voltage tracking control of a two input DC-DC converter in application of electric vehicles (EVs). The imperialist competitive algorithm (ICA) is used for tuning TSSMC parameters. The proposed controller significantly improves the transient response and disturbance rejection of the two input converters while p...

A new framework is presented for distributed, linear model predictive control (MPC) with guaranteed nominal stability and performance properties. We first show that modeling the interactions between subsystems and exchanging trajectory information among MPCs (communication) is insufficient to provide even closed-loop stability. We next propose a cooperative distributedMPC framework, in which th...

This paper presents a complete solution to an extended H = control problem for a generalized plant comprising a physical system cascaded with weights containing poles in the closed right half-plane. Necessary and su$cient conditions for a solution to exist are obtained which guarantee closed-loop stability of the physical system and controller as well as achieving the H = norm constraint on the...

This paper investigates the closed-loop dynamics of systems controlled via parallel estimators. This structure arises in formation flying problems when each spacecraft bases its control action on an internal estimate of the complete formation state. For LTI systems a separation principle shows that the necessary and sufficient conditions for overall system stability are more stringent than the ...

Using H∞ control, the design problem is formulated in terms of user defined weighting polynomials on the process closed-loop Sensitivity functions to achieve desired closed-loop performance and robust stability in the presence of process modelling error. In this paper stability conditions , in terms of the process sensitivity functions, are derived for processes containing a pure time delay for...

Improved results on receding horizon control (RHC), or model predictive control (MPC), for linear state-delay systems is proposed. The proposed RHC has guaranteed closed-loop stability for wider class of state-delay systems than exiting RHC for state-delay systems. The proposed RHC is obtained by minimizing a new cost function that includes three terminal weighting terms, which are closely rela...

In this paper the robust stability of an autonomous mobile robot based on a parametric approach is presented. The closed-loop control consists of Multi-Input / MultiOutput (MIMO) uncertain plant (mobile robot) and a MIMO Proportional Integral (PI) controller. Using Kharitonov’s Theorem and Zero Exclusion Condition the closed-loop system is proved to be robustly stable in the presence of paramet...

This paper considers stability problem for inputdelayed systems for both constant and time-varying delay case. A new composite state-derivative control law is introduced, in which, a composition of the state variables and their derivatives appear in control law. By this means, the resulting closed-loop system becomes a particular time-delay system of neutral type. The significant specification ...

This paper addresses the problem of deformation control of an Euler-Bernoulli beam with in-domain actuation. The proposed control scheme consists in first relating the system model described by an inhomogeneous partial differential equation to a target system under a standard boundary control form. Then, a combination of closed-loop feedback control and flatness-based motion planning is used fo...