This article presents a single-dc-source seven-level (7L) inverter topology with a dynamic voltage gain. The two dcdc boost converters are connected in parallel for charging and in series for discharging to generate the seven-level output voltage at the load. The proposed topology’s advantages are emphasized over existing boost inverters, demonstrating its superiority. Increased power quality and efficiency of 96.7% are promised through experimental validation utilizing a lab hardware setup. The empirical findings are exhibited using a variety of factors, such as load variation and modulation index variation, etc

This paper investigates the problem of asynchronous dynamic quantization for nonlinear systems with unknown initial conditions and subject to external disturbances and delays. We propose a novel two-level dynamic quantizer that only depends on the sign of the quantization error to quantize the actual input signal. Building on the sliding mode approach, the proposed quantizer is enabled to capture the state/input in a finite time and maintains the quantization error bounded after capturing. Sufficient conditions are provided to ensure closed-loop stability in terms of Lyapunov functions. Furthermore, the robustness of the quantization policy with respect to external disturbances and time delays is also investigated. The effectiveness of the approach is demonstrated through a numerical example.

We investigate the design of quantized event-triggered controllers for LTI systems with unknown initial states. The proposed approach is novel and incorporates interesting features. First, the quantizer that we synthesize is dynamic with exponential behaviour, which enables us to capture the state in a finite time. Second, once the state is captured, the quantization error is guaranteed to remain bounded thanks to the sliding mode feature. Third, the quantizer dynamics only depend on the sign of the quantization error, which allows for one-bit transmission rather than packet-based transmission. Moreover, the event-triggering mechanism that we consider is also dynamic and depends only on locally available information. The overall system is modeled as a hybrid dynamical system and the closedloop stability is investigated using Lyapunov functions. The approach ensures global asymptotic stability property for the closed-loop system. Moreover, Zeno behavior is prevented by means of time regularization techniques. The effectiveness of the proposed approach is illustrated by numerical simulation.