supply voltage system where low supply gates may feed into high supply gates energy savings for benchmark circuits in comparison when level converters are not allowed. of a level shifter circuit having a structure to reduce fall and rise. input voltage levels prohibit the use of direct-gate drive circuits for high-side signal are linked by a level shift circuit that must tolerate the high-volta...

In this paper some adaptive nonlinear multivariable techniques used in the control of robotic manipulators are presented. The nonlinear control law and state feedback are used in achieving a linear inputoutput behavior for the controlled system. For the design of the adaptive nonlinear control, the exact feedback input-output linearization and the method of gradient are used. The nonlinear cont...

Interneurons in leech ganglia receive multiple sensory inputs and make synaptic contacts with many motor neurons. These "hidden" units coordinate several different behaviors. We used physiological and anatomical constraints to construct a model of the local bending reflex. Dynamic networks were trained on experimentally derived inputoutput patterns using recurrent backpropagation. Units in the ...

Model predictive control (MPC) is a popular controller design technique in the process industry. Conventional MPC uses linear or nonlinear discrete-time models. Recently, we have extended MPC to a class of discrete event systems that can be described by a model that is “linear” in the max-plus algebra. In our previous work we have considered MPC for the time-invariant case. In this paper we con...

A sequential automatic algebra is a structure of the type (A; f1, . . . , fn), where A is recognised by a finite automaton, and functions f1, . . . , fn are total operations on A that are computed by inputoutput automata. Our input-output automata are variations of Mealy automata. We study some of the fundamental properties of these algebras and provide many examples. We give classification res...

Neural network black-box modeling is usually performed using nonlinear inputoutput models. The goal of this paper is to show that there are advantages in using nonlinear state-space models, which constitute a larger class of nonlinear dynamical models, and their corresponding state-space neural predictors. We recall the fundamentals of both input-output and state-space black-box modeling, and s...

This paper proposes on-line optimal operation planning and control of cogeneration systems (CGS). CGS is usually connected to various facilities such as refrigerators, reservoirs, and cooling towers. In order to generate optimal operation planning for CGS, startup/shutdown status and/or input/output values of the facilities for each control interval should be determined. The facilities may have...

OFDM communications require extreme linearity of High Power Amplifiers (HPA) to avoid Inter-Carrier Interference (ICI) and subsequent degradation of the BER and Quality of Service (QoS). Amplitude (AM/AM) and Phase (AM/PM) amplifier non-linearities can be compensated in a number of ways. Nevertheless, digital adaptive schemes based on least squares optimization criteria need estimate the delay ...

In the distributed test architecture, a system with multiple ports is tested using a tester at each port/interface, these testers cannot communicate with one another and there is no global clock. Recent work has defined an implementation relation for testing against an inputoutput transition system in the distributed test architecture. However, this framework placed no restrictions on the test ...

This paper studies the partially observed stochastic optimal control problem for systems with state dynamics governed by Partial Differential Equations (PDEs) that leads to an extremely large problem. First, an open-loop deterministic trajectory optimization problem is solved using a black box simulation model of the dynamical system. Next, a Linear Quadratic Gaussian (LQG) controller is design...