The present paper describes the development of a simple yet effective gain scheduling type fuzzy PID controller algorithm that can employ fuzzy adaptation to dynamically vary conventional PID controller gain(s). While one scheme can dynamically vary the reset rate only, an even improved scheme can effectively vary both proportional gain and reset rate of a PID controller simultaneously, employi...

We present an empirical analysis of the effect that the gain and discount functions have in the correlation between DCG and user satisfaction. Through a large user study we estimate the relationship between satisfaction and the effectiveness computed with a test collection. In particular, we estimate the probabilities that users find a system satisfactory given a DCG score, and that they agree ...

This paper uses quadratic surface Lyapunov functions to eÆciently check if a double integrator in feedback with a saturation nonlinearity has L2-gain less than > 0. We show that for many of such systems, the L2-gain is non-conservative in the sense that they are approximately equal to the lower bound obtained by replacing the saturation with a constant gain of 1. These results allow the use of ...

This note uses quadratic surface Lyapunov functions (SuLFs) to efficiently check if a double integrator in feedback with a saturation nonlinearity has L -gain less than > 0. We show that for many such systems, theL -gain is nonconservative in the sense that this is approximately equal to the lower bound obtained by replacing the saturation with a constant gain of 1. These results allow the use ...

Changing gain in a neuronal system has important functional consequences, but the underlying mechanisms have been elusive. Models have suggested a variety of neuronal and systems properties to accomplish gain control. Here, we show that the gain of the neuronal network underlying local bending behavior in leeches depends on widespread inhibition. Using behavioral analysis, intracellular recordi...

Sufficient conditions are derived under which -ary partialand full-response continuous phase modulation (CPM) space–time (ST) codes will attain both full spatial diversity and optimal coding gain. General code construction rules are desirable due to the nonlinearity and inherent memory of the CPM signals which makes manual design or computer search difficult. Using a linear decomposition of CPM...

This paper considers the stabilization problem for a port-controlled Hamiltonian system subject to actuator saturation and input additive external disturbances. Conditions are identified under which a static output feedback law would achieve global asymptotic stabilization. Under some additional growth conditions on the nonlinear functions involved in the system, the same feedback law would als...

We investigate a non-degenerate phase-sensitive amplifier (PSA) operating in gain saturation experimentally and numerically using the three-wave model. The phase-dependent gain and phase-to-phase transfer functions are obtained for different levels of saturation with good agreement between experimental and numerical data when higher-order FWM is small. Moreover, we identify an operating point w...

Hebbian associative learning is a common form of neuronal adaptation in the brain and is important for many physiological functions such as motor learning, classical conditioning and operant conditioning. Here we show that a Hebbian associative learning synapse is an ideal neuronal substrate for the simultaneous implementation of high-gain adaptive control (HGAC) and model-reference adaptive co...