This paper presents a design procedure for an adaptive power management control strategy based on a driving cycle recognition algorithm. The design goal of the control strategy is to minimize fuel consumption and engine-out NOx, HC and CO emissions on a set of diversified driving schedules. Seven facility-specific drive cycles are considered to represent different driving scenarios. For each fa...

This new platform too requires a strong and substantial research effort to take vision into reality. This research program can build on the activities from the 1960s onwards which laid the foundations of an ambitious system theory encompassing linear and nonlinear systems, stability theory, robust control, estimation, optimal control, decentralized control, adaptive control, identification, dis...

Hybrid dynamics in process control arise for various reasons. The main source is the interaction between computer-realized discrete control functions and the continuous physico-chemical processes in the plant. But also physical or operational constraints lead to discrete phenomena in otherwise continuous processes. The modeling, the analysis and the design of hybrid control systems pose new pro...

This paper focuses on a strong approximability property for nonlinear affine control systems.We consider control processes governed by ordinary differential equations (ODEs) and study an initial systemand the associated generalized system.Our theoretical approach makes it possible to prove a strong approximability result for the above dynamical systems. The latter can be effectively applied to ...

This study examines the feasibility of applying adaptive fuzzy sliding mode control (AFSMC) strategies to reduce the dynamic responses of bridges constructed using a lead rubber bearing (LRB) isolation hybrid protective system. Recently developed control devices for civil engineering structures, including hybrid systems and semi-active systems, have been found to have inherent nonlinear propert...

this paper presents a gaussian radial basis function neural network based on sliding mode control for trajectory tracking and vibration control of a flexible joint manipulator. to study the effectiveness of the controllers, designed controller is developed for tip angular position control of a flexible joint manipulator. the adaptation laws of designed controller are obtained based on sliding m...

Numerous approaches to verifying the safety of vehicles in the AHS architecture of PATH have been proposed (see 1] and 2]). One approach involves nding a boundary between safe and unsafe initial conditions. This task is signiicantly easier if we can guarantee that the severity of an accident is monotonic in the initial conditions. Simulation results are presented in which it is shown that this ...

A hybrid automaton [16,2] is a digital, real-time system that interacts with an analogue environment. Hybrid automata are ubiquitous in all areas of modern engineering and technology. For example, the (digital) height control of an automobile chassis depends on and influences the (continuous) driving conditions of the vehicle [22]. Hybrid automata typically operate in safety critical areas, suc...

In this paper, we consider the hierarchical control problem for a class of uncertain hybrid dynamical systems. The continuous dynamics of this class of uncertain hybrid systems are described by linear difference state equations, whose right side functions are unknown but lie within some convex hulls of known functions. Our control objective is for the closed loop system to exhibit a desired beh...