Abstract: An IC is coupled to a power stage having a first half bridge having first and second transistors and a second half bridge having third and fourth transistors. A controller has a first control output to provide first-fourth control signals to the first-fourth transistors. The controller asserts the first-fourth control signals to implement a state sequence. The state sequence includes a first state in which the first and fourth transistors are ON, a second state in which the first and third transistors are ON, a third state in which the second and fourth transistors are ON, and a fourth state in which the second and third transistors are ON. During each switching cycle, the controller implements the first and fourth states with one of the second or third states implemented between the first and fourth states, with every n switching cycles alternating implementation of the second or third states.

Abstract: A solar power system is provided for maximizing solar power conversion. The solar power system includes n power units connected in series and n-1 DC-DC converting units, and each of the n-1 DC-DC converting units is coupled to at least one of n solar power units. Each of the n-1 DC-DC converting units is configured to control the correspondingly connected solar power units to operate at a target current generation. The solar power system further includes a controlling unit coupled to the n-1 DC-DC converting units. The controlling unit monitors and compares the n currents generated by the n solar power units. Based on the current comparison, the controlling unit determines a series current and controls the n solar power units so that each of the generated photovoltaic currents is substantially equal to the determined series current.

Abstract: A perceptual stimulus categorization technique is presented which identifies the stimuli category of a perceptual stimulus that has been presented to a person whose brain activity is being monitored. This generally accomplished by first training a detection module to recognize the part of the brain activity generated in response to the presentation of a stimulus belonging to each of one or more stimuli categories using brain activity information. Once the detection module is trained, a subsequent instance of a stimulus belonging to a trained stimuli category being presented to the person is detected, and this detection is used to identify the trained stimuli category to which the presented stimulus belongs.