This paper presents two symbolic model checking algorithms for the verification of analog/mixed-signal circuits. The first model checker utilizes binary decision diagrams while the second is a bounded model checker that uses a satisfiability modulo theory solver. Both methods have been implemented, and preliminary results are promising.

This paper presents a Boolean based symbolic model checking algorithm for the verification of analog/mixed-signal (AMS) circuits. The systems are modeled in VHDL-AMS, a hardware description language for AMS circuits. The VHDL-AMS description is compiled into labeled hybrid Petri nets (LH-PNs) in which analog values are modeled as continuous variables that can change at rates in a bounded range and digital values are modeled using Boolean signals. System properties are specified as temporal logic formulas using timed CTL (TCTL). The verification proceeds over the structure of the formula and maps separation predicates to Boolean variables. The state space is thus represented as a Boolean function using a binary decision diagram (BDD) and the verification algorithm relies on the efficient use of BDD operations.

System on a chip design results in the integration of digital, analog, and mixed-signal circuits on the same substrate which further complicates the already difficult validation problem. This paper presents a new model, labeled hybrid Petri nets (LHPNs), that is developed to be capable of modeling such a heterogeneous set of components. This paper also describes a compiler from VHDL-AMS to LHPNs. To support formal verification, this paper presents an efficient zone-based state space exploration algorithm for LHPNs. This algorithm uses a process known as warping to allow zones to describe continuous variables that may be changing at variable rates. Finally, this paper describes the application of this algorithm to a couple of analog/mixed-signal circuit examples.